Word2Vec_NLP.ipynb

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    "colab": {
      "name": "Word2Vec_NLP.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0ypXulX7Ptmg"
      },
      "source": [
        "#Dataset1-Big(85282 rows)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fZ3ut8XCatI8"
      },
      "source": [
        "##Import Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b2ri6RQELPui",
        "outputId": "06f6b58d-f626-48e7-ca06-221dbfca470b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Loading dataset and rename columns\n",
        "\n",
        "df=pd.read_excel(\"healthtapQAs_v1.xlsx\");\n",
        "df.columns=[\"questions\",\"answers\"];\n",
        "\n",
        "df"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>answers</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>zirconium dental implants. how common is it us...</td>\n",
              "      <td>a majority of the dental implants placed are t...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>zoloft/ sertaline cause heart racing can't sit...</td>\n",
              "      <td>check with your doc could be side effect of th...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>zoloft (sertraline) side effects? does it make...</td>\n",
              "      <td>it can be related to either weight gain or los...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>yellow skin around wound from cat bite. why?</td>\n",
              "      <td>this may be the secondary result of a resolvin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>yeast infection and open sores major swelling ...</td>\n",
              "      <td>bathing in a bath with baking soda may help de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85277</th>\n",
              "      <td>what is the best: a conventional angiography o...</td>\n",
              "      <td>for small vessels conventional angiography is ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85278</th>\n",
              "      <td>what is unique about taking medicine every 24 ...</td>\n",
              "      <td>try taking one half tab every day. but 10mg si...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85279</th>\n",
              "      <td>what treat should be of following sypmtoms pai...</td>\n",
              "      <td>your description of the pain sounds neuropathi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85280</th>\n",
              "      <td>can you explain incomplete right bundle branch...</td>\n",
              "      <td>the righty and left ventricles are induced to ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85281</th>\n",
              "      <td>can someone with a pacemaker receive radiation...</td>\n",
              "      <td>it is not safe to be in direct field of radiat...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85282 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               questions                                            answers\n",
              "0      zirconium dental implants. how common is it us...  a majority of the dental implants placed are t...\n",
              "1      zoloft/ sertaline cause heart racing can't sit...  check with your doc could be side effect of th...\n",
              "2      zoloft (sertraline) side effects? does it make...  it can be related to either weight gain or los...\n",
              "3           yellow skin around wound from cat bite. why?  this may be the secondary result of a resolvin...\n",
              "4      yeast infection and open sores major swelling ...  bathing in a bath with baking soda may help de...\n",
              "...                                                  ...                                                ...\n",
              "85277  what is the best: a conventional angiography o...  for small vessels conventional angiography is ...\n",
              "85278  what is unique about taking medicine every 24 ...  try taking one half tab every day. but 10mg si...\n",
              "85279  what treat should be of following sypmtoms pai...  your description of the pain sounds neuropathi...\n",
              "85280  can you explain incomplete right bundle branch...  the righty and left ventricles are induced to ...\n",
              "85281  can someone with a pacemaker receive radiation...  it is not safe to be in direct field of radiat...\n",
              "\n",
              "[85282 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jx8GakBta1ba"
      },
      "source": [
        "##Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CKYjAjKIMNuD",
        "outputId": "d082a10c-83e3-45f1-8255-996e4f0c1420",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "#keeping only words in the sentence and removing punctuations.\n",
        "\n",
        "def clean_sentence(sentence, stopwords=False):\n",
        "    \n",
        "    sentence = sentence.lower().strip()\n",
        "    sentence = re.sub(r'[^a-z0-9\\s]', '', sentence)\n",
        "\n",
        "    \n",
        "    if stopwords:\n",
        "         sentence = remove_stopwords(sentence)\n",
        "    \n",
        "\n",
        "    \n",
        "    return sentence\n",
        "                    \n",
        "def get_cleaned_sentences(df,stopwords=False):    \n",
        "    sents=df[[\"questions\"]];\n",
        "    cleaned_sentences=[]\n",
        "\n",
        "    for index,row in df.iterrows():\n",
        "        #print(index,row)\n",
        "        cleaned=clean_sentence(row[\"questions\"],stopwords);\n",
        "        cleaned_sentences.append(cleaned);\n",
        "    return cleaned_sentences;\n",
        "\n",
        "cleaned_sentences=get_cleaned_sentences(df,stopwords=True)\n",
        "#print(cleaned_sentences);\n",
        "\n",
        "print(\"\\n\")\n",
        "\n",
        "cleaned_sentences_with_stopwords=get_cleaned_sentences(df,stopwords=False)\n",
        "#print(cleaned_sentences_with_stopwords[0]);"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W60k9PEUckz_",
        "outputId": "31f09583-855b-4723-d018-c95e66d3ac33",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(cleaned_sentences_with_stopwords[0]);"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "zirconium dental implants how common is it used now is there any advantages or benefits over titanium implants cons  pros please thanks\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6c5XPbI0u3uR"
      },
      "source": [
        "##Word2Vec-Skipgram Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "__W7NbDAs6js",
        "outputId": "e941c264-dedf-425e-d3ab-b6d3f44b759c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "#loading Word2vec google news pretrained model  \n",
        "v2w_model=None;\n",
        "try:\n",
        "    v2w_model = gensim.models.KeyedVectors.load(\"./w2vecmodel.mod\")\n",
        "    print(\"Loaded saved W2V model\")\n",
        "except:            \n",
        "    v2w_model = api.load('word2vec-google-news-300')\n",
        "    v2w_model.save(\"./w2vecmodel.mod\")\n",
        "    print(\"Downloaded and saved glove model\")\n",
        "\n",
        "w2vec_embedding_size=len(v2w_model['computer']);"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[=================================================-] 98.6% 1639.0/1662.8MB downloaded\n",
            "Downloaded and saved glove model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I59O3tZTtUdi"
      },
      "source": [
        "#creating vectors\n",
        "def getWordVec(word,model):\n",
        "        samp=model['computer'];\n",
        "        vec=[0]*len(samp);\n",
        "        try:\n",
        "                vec=model[word];\n",
        "        except:\n",
        "                vec=[0]*len(samp);\n",
        "        return (vec)\n",
        "\n",
        "\n",
        "def getPhraseEmbedding(phrase,embeddingmodel):\n",
        "                       \n",
        "        samp=getWordVec('computer', embeddingmodel);\n",
        "        vec=numpy.array([0]*len(samp));\n",
        "        den=0;\n",
        "        for word in phrase.split():\n",
        "            #print(word)\n",
        "            den=den+1;\n",
        "            vec=vec+numpy.array(getWordVec(word,embeddingmodel));\n",
        "\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HJxAgmWny5uw"
      },
      "source": [
        "import sklearn\n",
        "from sklearn.metrics.pairwise import cosine_similarity;\n",
        "#finding cosine similarity from vectors\n",
        "def retrieveAndPrintFAQAnswer(question_embedding,sentence_embeddings,FAQdf,sentences):\n",
        "    max_sim=-1;\n",
        "    index_sim=-1;\n",
        "    for index,faq_embedding in enumerate(sentence_embeddings):\n",
        "        #sim=cosine_similarity(embedding.reshape(1, -1),question_embedding.reshape(1, -1))[0][0];\n",
        "        sim=cosine_similarity(faq_embedding,question_embedding)[0][0];\n",
        "        print(index, sim, sentences[index])\n",
        "        if sim>max_sim:\n",
        "            max_sim=sim;\n",
        "            index_sim=index;\n",
        "    print(\"\\n\")\n",
        "    print(\"Question: \",question)\n",
        "    print(\"\\n\");\n",
        "    print(\"Retrieved: \",FAQdf.iloc[index_sim,0]) \n",
        "    print(FAQdf.iloc[index_sim,1]) "
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X3TNh0-Aymx_"
      },
      "source": [
        "question_orig=\"How to keep good health?\"\n",
        "#question_orig=input()\n",
        "question=clean_sentence(question_orig,stopwords=False);"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cb8cXiNutWcf",
        "outputId": "61baefd5-7668-4529-c068-0351b04c2571",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#With w2Vec\n",
        "import numpy\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,v2w_model));\n",
        "\n",
        "question_embedding=getPhraseEmbedding(question,v2w_model);\n",
        "\n",
        "retrieveAndPrintFAQAnswer(question_embedding,sent_embeddings,df, cleaned_sentences);"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "80289 0.20928023309618934 midsternal chest pain lead\n",
            "80290 0.3316712893725098 emergency room high blood pressure\n",
            "80291 0.24825092738587393 mean systolic diastolic blood pressure readings close number 11090\n",
            "80292 0.16744572408209826 difference benicar olmesartan hct losartan hctz\n",
            "80293 0.35334509139711423 head dizzy spell short breath mean\n",
            "80294 0.2216197318241221 heartbeat machine called\n",
            "80295 0.3479716737354793 mean left womans chest sore\n",
            "80296 0.41072170093795024 whats average blood pressure for12 year olds\n",
            "80297 0.3882025319350515 vitamin help reduce ldl\n",
            "80298 0.3545073487266655 causes constant passing feaces meal remedied\n",
            "80299 0.3492339020826134 makes peritonitis pleurisy pericarditis cause great deal pain\n",
            "80300 0.29227626546541013 borderline inferior q wave mean\n",
            "80301 0.30039347498523555 concerns acetaminophen ibuprofen liver effects safer aspirin inflammation headache pericarditis\n",
            "80302 0.1111448047328466 definition description mitral valve prolapse\n",
            "80303 0.40817446232134363 normal colesterol levels pregnancy im 10 weeks pregnant lab results 217 worried\n",
            "80304 0.2975245836750317 303 triglycerides mean\n",
            "80305 0.2568389443022425 longest person live cardiomyopathy\n",
            "80306 0.36854519390025536 kind chest pain cardiovascular related distinct type pain feel pain left chest\n",
            "80307 0.22237308200232608 sxs mean edema fatigue shortness breath mild abd cramps\n",
            "80308 0.29978423541869176 flying plane hurt sacroilliac fracture tro hip bursitis suffer dvt effect flying fracture ease\n",
            "80309 0.29529249843875255 cholestorol\n",
            "80310 0.17412941568988902 dangers aortic aneurism 3 centimeters\n",
            "80311 0.21583691179664208 definition description congestive heart failure\n",
            "80312 0.37486597582918085 pvd lifespan short crossover bypass told alive 10 yrs likely surgeries exhausted\n",
            "80313 0.32508145743652445 hgh help pulmonary hypertension\n",
            "80314 0.1983341189263565 inflammation carotid artery cause pain\n",
            "80315 0.28359925882695286 differance high blood pressure pulmonary hypertension diastolic typucalky 115 w sone shortness breath\n",
            "80316 0.24506035984873642 consider anteroseptal ischemia mean\n",
            "80317 0.1980301582053073 creatine kinase 137 mean\n",
            "80318 0.27092594879289345 dehydration cause swollen feet\n",
            "80319 0.18765210514950487 midsternal chest pain\n",
            "80320 0.1878556437602331 difference plavix lipitor atorvastatin\n",
            "80321 0.3139859506885604 normal range blood pressure fifty year old adult male\n",
            "80322 0.37094032949749983 rid high blood pressure headache\n",
            "80323 0.35665329207669905 occult cardiovascular disease mean\n",
            "80324 0.356841987421164 dialysis heart patients use cough\n",
            "80325 0.11156358829084119 bilateral pulmonary edema\n",
            "80326 0.30687099031367276 inflammation inner lining heart called\n",
            "80327 0.36517478969547273 ear infection raise blood pressure\n",
            "80328 0.2369103216395033 use patenol 4 months\n",
            "80329 0.1966108069347461 adderall dextroamphetamine racemic amphetamine 30mgs affect severe pulmonary hypertention\n",
            "80330 0.35274117754611894 cardiac stress test heart ultra sound atherosclerosis homocysteine play\n",
            "80331 0.20116083596237627 mean feel aortic artery abdomen\n",
            "80332 0.2921330274417743 difference chest pain block gas\n",
            "80333 0.21853109640168336 causes midsternal chest pain\n",
            "80334 0.1378753357183076 definition description angina\n",
            "80335 0.17471507482467674 mean cardiology apical septum mildly hypokinetic\n",
            "80336 0.3223877052241359 flying plane sacroilliac fracture worse tro hip bursitis suffer dvt worse fly\n",
            "80337 0.3608147982074791 mean angina attack long time\n",
            "80338 0.33827721399269584 normal scale blood pressure 50 years old women\n",
            "80339 0.14101908539464159 old anteroseptal myocardial infarction mean\n",
            "80340 0.15574074606864874 definition description tia\n",
            "80341 0.27349444077111246 definition description high blood pressure\n",
            "80342 0.25668565756817757 definition description ldl cholesterol\n",
            "80343 0.32878724485299643 ink poisoning heart infection getting tattoo blood vessels arms\n",
            "80344 0.3153839480094908 estrogen topically enter blood stream fish oil transdermally affect\n",
            "80345 0.4196338548444471 negative pressure pulmonary edema happen time surgery happened supposed surgery soon\n",
            "80346 0.5495032272997081 having trouble breathing 2 hours run run felt pretty good chest tight having hard time taking deep breath\n",
            "80347 0.1253269143234872 definition description transient ischemic attack\n",
            "80348 0.3199525913033697 causing heat flashes chest heart area painful scary chest twitching heart\n",
            "80349 0.33400427400561006 average number heart beats minute\n",
            "80350 0.1124560200626629 atorvastatin oxide effects\n",
            "80351 0.3292896187478663 atenolol start work\n",
            "80352 0.31557767761232586 dull ache inside left arm armpit elbow likely cardiac nature typically associated symptoms\n",
            "80353 0.3904812505555741 blood pressure high 78years old woman tia medication hbp safe high low limits bp\n",
            "80354 0.06839687666940263 scleroderma crest variant\n",
            "80355 0.31259516818634936 spinach increases cholesterol\n",
            "80356 0.25317180715745097 flyin plane hurt sacroilliac fracture tro hip bursitis suffer dvt\n",
            "80357 0.2134446537995219 symptoms severe emphasema\n",
            "80358 0.4439346917594062 heart patient relieve somewhat symptoms bad cold came fast symptoms complete head congestion earaches chills\n",
            "80359 0.3047634912927153 happen person tried commit suicide stabing carotid artery missed\n",
            "80360 0.3020830230470744 feet swollen feeling cold injury\n",
            "80361 0.27596267395516577 stroke opticl nerve damage recover\n",
            "80362 0.3330865393463248 niacin flush free clean thc\n",
            "80363 0.2031929352453307 lisinopril irritate esophagus\n",
            "80364 0.3414517116840117 whats chance having bacterial endocarditis fever\n",
            "80365 0.3102509145010986 best specialist sarcoidois currently manifesting neck head\n",
            "80366 0.38080810032002865 mean chest hurt breathe cough arms\n",
            "80367 0.3706927521792049 drink coffee open heart surgery\n",
            "80368 0.44614718283449284 went health check bp 180100 colestarol 3 95 pulse 40 blood pressure high\n",
            "80369 0.3444309409676953 person 2 reverse poor circulation legs\n",
            "80370 0.11844905026701336 symtoms bylateral pedal edema 2\n",
            "80371 0.32185368984717394 cardio excercise cause weakened heart valve start leaking excercise cause heart valve leakage weakened mitral valve\n",
            "80372 0.30719245492468894 warfarin teratogenic fetus thrombosis specialist tell switch lmwh pregnant confused\n",
            "80373 0.19970016221112838 bp number considered low\n",
            "80374 0.457131318344402 pills goid mans stamina want hurt taking blood pressure med\n",
            "80375 0.40384178478224236 doctors testing lipids thc come\n",
            "80376 0.4928834301318761 weird feeling chest time felt like heart stopped quick sec symptoms felt fine stressed\n",
            "80377 0.25333586619249526 cause shortness breath slight dizziness walking hill lasting 30 minutes\n",
            "80378 0.2476908381489392 cirrhosis portal hypertension cause pain spleen liver\n",
            "80379 0.435754751881274 woke midnight collar bone hurting badly felt broken pain went shoulders bit day lower pain heart beats irregularly times\n",
            "80380 0.28512390364283324 causes shortness breath day drinking alcohol\n",
            "80381 0.3055961882675609 chest tightening mean\n",
            "80382 0.36621885679853305 wat cuz high blood pressure\n",
            "80383 0.13748862254025337 difference angiogram angiography\n",
            "80384 0.23386486682529103 bp acidity consider regular bp patient\n",
            "80385 0.4861821917215023 whats best treatment secondary hypertension\n",
            "80386 0.27070377332409745 stage high blood pressure 17292\n",
            "80387 0.443943686418153 person need open heart surgery\n",
            "80388 0.3381284370912521 normal blood pressure 34 year old woman 57 tall\n",
            "80389 0.2413504635202304 normal bp reading 90yr old lady\n",
            "80390 0.31191369825434534 high blood pressure person suffer fainting\n",
            "80391 0.2866553925726662 ateries supply blood oxide food heart muscle\n",
            "80392 0.299703713583492 advantages disadvantages heart transplant\n",
            "80393 0.33527842783179507 isthebest test checking angina diagnosis 6 years ago deter oater\n",
            "80394 0.3943126712074322 normal human heart beat 100\n",
            "80395 0.35012102995125355 time good norvasc amlodipine\n",
            "80396 0.31302549770098453 artificial heart valves important\n",
            "80397 0.11295836450978347 coronary arteries veins\n",
            "80398 0.3508961611374018 highest blood pressure reading doesnt increase risk heart attack stroke\n",
            "80399 0.32792925518868216 people swollen heart\n",
            "80400 0.2896642005429325 normal blood pressure 65 yr old male\n",
            "80401 0.48940315345678226 legs feel like retaining water\n",
            "80402 0.21562793763654342 glucosamine fish oil anticoagulate\n",
            "80403 0.03404405350983992 norvasc amlodipine ace inhibitor\n",
            "80404 0.3156749836207839 causes shortness breath elevated pulse rate blood oxygen ok\n",
            "80405 0.24328909287789913 head cat scan brain aneurysm\n",
            "80406 0.2803883383724893 drank alcohol chest hurts\n",
            "80407 0.42042366449876606 finger best prick accurate cholesterol results\n",
            "80408 0.4291979217137955 mean doctors heart 20\n",
            "80409 0.25007385288205114 chance surviving stroke\n",
            "80410 0.3430219783423767 cough syrup heart patient\n",
            "80411 0.38274799446863333 safe medication sinus pressure high blood pressure\n",
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            "80416 0.43307556511931516 type doctor treats low cholesterol\n",
            "80417 0.2431673829456694 causes abnormal lymph node near heart\n",
            "80418 0.2830598902941972 bilateral orbital emphysema mean injuries fall\n",
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            "80420 0.17421004709316157 drs minor plaque buildup carotid artery\n",
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            "80426 0.22627991606054784 decreased cardiac output hypertensive patient\n",
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            "80437 0.2838269390887612 whats difference complete bundle branch block incomplete bundle branch block\n",
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            "80483 0.08476504475370347 ectatic abdominal aorta\n",
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            "80583 0.19472377326506385 positive myocardial ab mean titer 140\n",
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            "80614 0.38825255129684005 mothers lower legs completely purpledark red hard painful vascular specialist ruled deep vein thrombosis\n",
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            "80712 0.5161170932881509 heart better stop drinking\n",
            "80713 0.08532143877213748 trace left ventricular hypertrophy\n",
            "80714 0.2108213587879302 high ferritin serum 472 ngml f altsgpt 80 h 040 iul cholesterol 200 triglycerides92 hdl chole 40 vldl choleste 18 ldl chole142\n",
            "80715 0.40817083272106214 eat high glycemic foods short breath pains left arm chest\n",
            "80716 0.45205650194586056 causes heart feel like squeezed\n",
            "80717 0.18385476775501794 normal bp 40 year old\n",
            "80718 0.32518727420598714 woke middle night left arm pain numbness headache nausea health issue acid reflux\n",
            "80719 0.3573800841878493 mean bruise lower heart\n",
            "80720 0.5979608379512591 wat good heart good\n",
            "80721 0.45651395583680976 hear heart beat ear things quiet\n",
            "80722 0.3285689674925677 mean white spot heart\n",
            "80723 0.41704228523963344 taking fish oil improve insomnia brought taking daily similar doesnt cause insomnia\n",
            "80724 0.3029181071252817 normal values ldh pregnant women\n",
            "80725 0.4029556588748867 feel right chest pain excercise\n",
            "80726 0.4081958738911857 better colesterol morning nightime\n",
            "80727 0.31673155229333094 considered low blood pressure trimester pregnancy\n",
            "80728 0.3420432738272464 mean tips nipples purple\n",
            "80729 0.41171960463216345 mean poor circulation hands\n",
            "80730 0.33679784584408495 smoking cigarette away heart burn\n",
            "80731 0.14200209093761793 stage iia2 mean mitral valve prolapse\n",
            "80732 0.29116279545953216 cause heart muscles harden cause shortness breath\n",
            "80733 0.31114132771311975 normal blood pressure 90 year old woman\n",
            "80734 0.3802606131829397 main cause shortness breath trying fully inhale unable doesnt happen breath gasping\n",
            "80735 0.2422726552778536 causes sqelling brainn heart attack\n",
            "80736 0.24796606761316858 usually aspirin daily stroke ihd irreversible inhibitor platelet agreggation platelet life 10 days\n",
            "80737 0.410133785890191 medical reason fish oil causing horrible insomnia\n",
            "80738 0.3689285347547933 cause swelling knee ankle looks like gout area cardiologist said definitely blood clots\n",
            "80739 0.49492222420519144 high cholesterol diet feel tired\n",
            "80740 0.3814409607305306 medicine best treat angina\n",
            "80741 0.30357427843402296 types lipid amounts listed food labels\n",
            "80742 0.24678603382376418 effect 0 9 nacl blood pressure\n",
            "80743 0.21723287756442933 causes severe bleeding bladder patients sarcoidosis\n",
            "80744 0.3556669941733949 life expectancy 60 year old man esrd endstage liver disease hypertension\n",
            "80745 0.45548656727347125 good resting blood pressure\n",
            "80746 0.29224358091270863 whats causing chronic diarrhoea recurrent sepsis utis 5 months started 5 days afterroutine cystoscopy colistin antibiotic cover\n",
            "80747 0.3549257624617591 problem bleeding 3 consecutive days having intercourse trying conceive time period tia\n",
            "80748 0.1377191857348443 caused hdl drop\n",
            "80749 0.2812240661864504 doctor checks cerebrovascular disease\n",
            "80750 0.365214922266837 avoid eat reduce possibility pheochromocytoma attack untreated medication\n",
            "80751 0.3475272458856725 risk associated patient diagnosed unstable angina involve regular exercise\n",
            "80752 0.2535525825649087 100mg niacin clean\n",
            "80753 0.40081769426715447 characteristic diet oppose heart disease\n",
            "80754 0.2754665723257326 low iodine cause salt cravings high bp\n",
            "80755 0.4982737763176591 feel lung congested doctor told clear feel air times especially laying\n",
            "80756 0.2654097798761267 anesthesiologist whaen blood pressure drops csection\n",
            "80757 0.4144222402840052 feel like heart beating boobs\n",
            "80758 0.31234042049179395 ideal blood pressure an18 year old girl\n",
            "80759 0.3511966627246329 best tenormin atenolol day night\n",
            "80760 0.13937063466848465 livedoid vasculitis curable\n",
            "80761 0.4666942820557192 possible non heart attack cause quick sharp pain left chestarm gas stomach issues\n",
            "80762 0.43556650589346285 mean physically heart beat belly\n",
            "80763 0.32529000656268287 damages heavy cigarette smoking 3 years reversible quitting particularly shortness breath\n",
            "80764 0.41423374641129285 medical procedures patient having heart attack preventive measures ease pain attack\n",
            "80765 0.461650443410021 mean sudden sharp pain heart area breath makes feel like rock heart hold breath stops\n",
            "80766 0.26902412444023327 drastic difference value prox pfa psv right leg 82 3 vs left leg 64 4 lower extremity arterial duplex\n",
            "80767 0.24196613244546766 cause chest pain left hand numbness\n",
            "80768 0.22785342757474053 reason feeling breathless climbing stairs walking incline\n",
            "80769 0.38074706566016375 ms diagnose 13 yrs ago affecting memory swallowin heart pslpations trouble breathin bladder control expect\n",
            "80770 0.23382828879801634 cause inr 1 mpv 7 normal platelet count\n",
            "80771 0.19981156435206796 liklihood benefit combination antihypertensive prescriptions titrated tolerated dose\n",
            "80772 0.3509896668818491 heart failure affect penis size\n",
            "80773 0.32721676506341246 causes lung fluid retention heart valve surgery\n",
            "80774 0.22159116188619574 largest difference fainting seizures\n",
            "80775 0.3186055750575855 blood pressure meds contain sulfites\n",
            "80776 0.23220604997549008 cause bp 12080 8656 home drs office higher 13090 htn pcos provera medroxyprogesterone lisinoril hctz\n",
            "80777 0.22200237537379672 z pack causing chest pain\n",
            "80778 0.40518092680813333 woke pain sides calfs affect amlodipine week think legs\n",
            "80779 0.33683219545598986 cause periodic dull heart pain\n",
            "80780 0.3189870669195788 eating gluten products develop bloating constipation water retention gluten sensitivity celiacs disease\n",
            "80781 0.3955286690413895 notice care heart attach patients\n",
            "80782 0.2126868723002712 nopalina effects\n",
            "80783 0.3873174423230456 talked refuses provide lipid infusion picc textbook says low osmolarity fat permits deliver peripheral veins\n",
            "80784 0.3047671280506206 lung cancer detected xray looking heart\n",
            "80785 0.38149899065251225 stomach problem causes loud rumbling gurgling worse sitting upper stomach feels like heart pain cardiac workup norm pain like stabbing radiating pain middle\n",
            "80786 0.2705517805232702 blood pressure elite athletes\n",
            "80787 0.19314724733530594 cause sudden breathlessness\n",
            "80788 0.26758484640392804 blood pressure 65 year old male\n",
            "80789 0.26116634288956403 wieght loss fatigue cbc cmp tsh wnl uashowed wbc crystals lupus anticoag years cld lupus\n",
            "80790 0.22737329050447438 vitd suppliment contraindicated pat sarcoidosis tb\n",
            "80791 0.1750112631131755 symptoms cerebral vasculitis\n",
            "80792 0.1392336825059235 typical symptoms mitral regurgitation\n",
            "80793 0.22216554392113866 q 10 enzyme alleviate effects beta blockers\n",
            "80794 0.3485549167712818 type bloodwork helps diagnosing cerebral vasculitis\n",
            "80795 0.3349512556542115 inr increase warfarin dose low stay\n",
            "80796 0.2543505040653964 doctor test cerebral vasculitis\n",
            "80797 0.37792652533545074 chest pains drinking red bull need er\n",
            "80798 0.4494924525034218 eating hours blood work raise cholesterol\n",
            "80799 0.24409108033137564 prescribed atenelol 12 5 mgs safe\n",
            "80800 0.5008931622661378 lungs feel like burning ive felt dont trouble breathing like past\n",
            "80801 0.2990805272782246 cause nerve pinch pain chest area\n",
            "80802 0.09025062002592571 weaning 2 5 mg amlodipine besylate\n",
            "80803 0.2351996201177273 helps insomnia benicar olmesartan cozaar\n",
            "80804 0.34970096090605307 smoke light headed chest gets tight neck tight stiff blance\n",
            "80805 0.24502386159400905 causes hemiplegic migranes total stroke symptoms\n",
            "80806 0.20351513861928172 possible complication cerebral cns vasculitis\n",
            "80807 0.45794649474914223 kind medicine lower pain currently taking high blood pressure medicine\n",
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            "80809 0.37264074834290756 water retention face joints\n",
            "80810 0.39998511850833024 bruices body coming come head chest hurt\n",
            "80811 0.13085576517534916 specialist cns vasculitis\n",
            "80812 0.3119805913445808 cns vasculitis cause blurry vision cognitive changes changes reversible\n",
            "80813 0.3436689712078673 kind exam check heart arteries clogged\n",
            "80814 0.3168347410398059 brain mri ruptured aneurysm appear month pregnant ehlers danlos hypermobility developed ice pick headache\n",
            "80815 0.2390653957767389 cause chest pain 21\n",
            "80816 0.2575805535539527 mean valve damage vein calf previous dvt apls\n",
            "80817 0.35584850849463495 causes nausea shaking feel like fainting hungry\n",
            "80818 0.3476012937746065 best medication reducing tg father hyper triglyceridemia tg 430 cholestrol hdl ldl normal\n",
            "80819 0.45018551238450044 mean high aldosertone high renin high cortisol levels chance talk dr like learn thanks\n",
            "80820 0.22502750994791315 whats difference mitral vavle prolapse mild mitral valve leak\n",
            "80821 0.335593691056867 woke feeling tired 7 hrs sleep chest discomfort headache cause history htn pcos provera medroxyprogesterone lisinopril hctz\n",
            "80822 0.16438955695210988 blocked arteries fibre appearance\n",
            "80823 0.3581392697287843 mean woman bleeds eye injured time leg swollen high blood pressure\n",
            "80824 0.35456284951277844 reliability nuclear stress test particularly regard ruling angina cardiac related chest discomfort\n",
            "80825 0.30667824567288016 people african descent prone high blood pressure\n",
            "80826 0.22011662399523912 heart visible echocardiogram imagaing\n",
            "80827 0.33630088152947357 nightly temp foot cramps wakening blood potassium results normal prenatal multivitamins im statin\n",
            "80828 0.4821306036871531 causes heart feeling like stops beat flutters fast hard\n",
            "80829 0.2912497253067773 best statin therapy elderly patients\n",
            "80830 0.31111990824294483 statin suitable elderly patients high ldl level\n",
            "80831 0.31900183603202414 statin drug prone muscle pain effect problem red rice yeast\n",
            "80832 0.3238065075926 went clinic chest pain 10 days bp 150110 heartbeat 94 doctor prescribed concor 5mg 110kg 23y 187cm reason\n",
            "80833 0.16281635408660267 stop plavix clopidogrel aspirin bladder insertion catherer\n",
            "80834 0.38537052637071245 lifelong fairly severe pain lower teethgums neck chest running lesser extent exertion discovered abnormalities cardiac workups\n",
            "80835 0.28920811775384975 outcome av canal surgery\n",
            "80836 0.28456383412993247 possible timing repair av canal defect tetralogy fallot child aged 3 months\n",
            "80837 0.22685280394551505 symptoms cns vasculitis months major complications\n",
            "80838 0.284889844163048 people cns vasculitis usually die complication\n",
            "80839 0.17623544522902157 major complications cns vasculitis\n",
            "80840 0.3173857758281793 gemini heart beat\n",
            "80841 0.4385432055971587 1 thing help decrease anxiety prior having blood pressure taken office visit\n",
            "80842 0.466541507549058 lay hear heart beat odd feels weird hear\n",
            "80843 0.36936046237114084 mean diostic number 88 higher blood pressure\n",
            "80844 0.42246938846072507 women 44 heart disease type 2 diabities possible starting menopause got period month\n",
            "80845 0.37809242027779383 symptoms stroke know father having stroke complains chest pain lies bed rest\n",
            "80846 0.25733544547632087 temporary yellow skin yellow eyes body anemia pheochromocytoma pheo related\n",
            "80847 0.364363317531816 dash diet lowering bp thought gold standard blood pressure diet\n",
            "80848 0.3262060950782302 current medical opinion taking antibiotics dental cleanings mild mvp mitral valve prolapse\n",
            "80849 0.4415443291753392 pulse muscules body feel shaky jittery happen whilst tarceva erlotinib\n",
            "80850 0.1748294634718954 tortuous esophagus means\n",
            "80851 0.20238923095282133 signs stroke\n",
            "80852 0.297560368293007 happens lisinopril twice day mistake 2025 mg hctz hydrochlorothiazide feeling weird\n",
            "80853 0.3968604601706538 signs watch im having reaction taking lisinopril 2025 hctz hydrochlorothiazide twicw mistake dont way check bp\n",
            "80854 0.45259679090832494 medical focus treating symptoms cardiovascular disease instead addressing cause appears diet\n",
            "80855 0.40855968839357915 wat best brand omega 3 fish oil shoud 43 yr old female consume daily\n",
            "80856 0.33001531778482657 total cholesterol level 130 actually regress plaque present coronary arteries\n",
            "80857 0.13268927406231149 cause dilated carotid artery dizziness\n",
            "80858 0.46022985199907057 medication recommend broken heart physically mentally girl crushing hurts procedure\n",
            "80859 0.2741528692906455 dizzylightheaded ctmri head echo heart ent eval negative tests evaluated\n",
            "80860 0.0 hydroclorothiazide\n",
            "80861 0.41758226017301187 ways lower high blood pressure medication\n",
            "80862 0.43990255803858097 vitamin brand recommend centrum good brand fish oil safely\n",
            "80863 0.07272179753776148 trace edema\n",
            "80864 0.39413999256888116 diagnosed bunch lung nodules august pretty intense chest pain worried\n",
            "80865 0.14043211222039426 alternatives gemfibrozil\n",
            "80866 0.4703668171592745 helpful seek cardiologist preventative measures set baseline family history stroke heart disease\n",
            "80867 0.17717794303841933 causes inr level 2 3 1 3 coumadin warfarin\n",
            "80868 0.21685052778813738 hypolipidaemic agent pregnancy\n",
            "80869 0.31096186549707355 calcium score 10 6 mean\n",
            "80870 0.4229123887282957 signs left arm pain cardiac nature opposed pinched nerve like\n",
            "80871 0.5789130193956172 mean blood pressure 105 73 youre 22 years old pretty healthy\n",
            "80872 0.11373374613087106 depakote 20 years 1000mg seizures bp averaged 12276 bp averages 14282\n",
            "80873 0.2748368409180147 sudden chest pain clammy feet diarrhea symtoms aortic dissection quickly progress\n",
            "80874 0.06090401678746529 significance bilateral atrial enlargement\n",
            "80875 0.21893010043907649 mean systolic pressure normal diastolic low 12660\n",
            "80876 0.30316392588563285 heartbeat speed slow\n",
            "80877 0.09328064325667468 cns vasculitis eeg\n",
            "80878 0.48613912978596024 affect drinking like 4 pints alcahol night heart disease mid lad 60 narrowed narrowing worse like\n",
            "80879 0.2517785075656432 risks angiogram brain\n",
            "80880 0.44263024782098925 best way remedy hypertension medication\n",
            "80881 0.25277171883009747 causes false high triglyceride readings\n",
            "80882 0.4664675576750419 wanted know clarithomycn heart murmer\n",
            "80883 0.25967782514575505 people congestive heart failure cachectic\n",
            "80884 0.3835713169604998 happens person having chest pain reason cardiac related takes nitroglycerin tab\n",
            "80885 0.3471322861662014 causes dizziness chest pains upper pain lightheaded maintain balance long period time muscle ache nauseated feeling\n",
            "80886 0.26899519863505134 rid acid reflux chest pain\n",
            "80887 0.4143556359079445 causes average low blood pressure 9560 dizziness alot norm cardiac tests doctors dont concerned possible ms brain lesions investigation heart palps\n",
            "80888 0.36375748425358323 waking palpations night chest pain arms currently fight new bout sarcoidosis related illlmess\n",
            "80889 0.3547840405468489 enlarged heart return normal medication\n",
            "80890 0.33740845665744784 medication good stop nightmares ptsd seroquel quetiapine ive told prazosin hydralazine\n",
            "80891 0.3210683732310579 lower center pain suspicious like aneurysm kidneys cancer tumor opposed benign\n",
            "80892 0.3716005871427236 cause headache fatigue loss appetite craving weird things ice dirt shortness breath chest pain\n",
            "80893 0.3313576919207366 infection mouth brain heart\n",
            "80894 0.4371078474630837 chest xray ace blood test able tell sure havedont sarcoidosis considered\n",
            "80895 0.3601837539835039 administer adrenaline im instead iv case anaphylactic shock adr given hypovolemic shock\n",
            "80896 0.11810511783875949 ct scan patent aorta ivc\n",
            "80897 0.39288130043964237 possible reasons right chest pain\n",
            "80898 0.3336763316674687 sleeping arms shake legs jerk chest gasp wake cause lisinopril hctzhtn proverapcos\n",
            "80899 0.18458796137242794 adverse effects levodopa ortho static hypotention\n",
            "80900 0.15225555273349478 orthostatic hypotention effect levodopa\n",
            "80901 0.11322131960066804 treatment pheochromocytoma\n",
            "80902 0.20133414679035855 blood tests catecholamines metanephrine abnormal pheochromocytoma crp sedrate high\n",
            "80903 0.46677070915282676 suspicious signs left arm pain cardiac nature know run er pcp time permitting\n",
            "80904 0.36158033199840456 check blood pressure ranges 11050 130s80s large fluctuation normal\n",
            "80905 0.28992390416180935 u experience sever dizziness having heavy period bp 9970 pulse 95\n",
            "80906 0.3002178193813892 natural anticoagulant present human body\n",
            "80907 0.40164735648701505 exactly diagnosis splanchnic pooling mean\n",
            "80908 0.3494255005093416 difference heart issues muscle issues pain left breast armpit breast shoulder days\n",
            "80909 0.3878145562450464 kinda omega 3 local drug store daily im 19 male\n",
            "80910 0.534355247222088 hsptl asthma iv steroids gfr 43 levels stge 3 kid disease dont smoke hbp feeling hopeless health improve\n",
            "80911 0.4854637109077267 wondering makes body joints hurt everyday constant headach neck pain feel like heart races lying\n",
            "80912 0.3213167747141859 emotional trigger results white coat syndrome having blood pressure taken mds office\n",
            "80913 0.35944133034049675 hear diastolic pressure way 0 syostolic pressure normal mean blood pressure 1200\n",
            "80914 0.5439092233771056 eating long wide carrot shaving got stuck route breathe ok chest pain swallowing water right wait\n",
            "80915 0.17811830086426267 lad artery referred widow maker\n",
            "80916 0.48112219059729144 wake night time fast heartbeat 120 16595 bpnormally 12575and feeling panic gradually goes episode stress lack sleep\n",
            "80917 0.2254637662443416 warfarin disease\n",
            "80918 0.3728517032254012 blood pressure readings considered normal 50yearold man rest\n",
            "80919 0.3362209015954435 cause kidneys stop filtering potassium friends brothers kidneys stopped filtering bp plummeted hospital\n",
            "80920 0.21712194442451685 point doctor preclude exertion abdominal aortic aneurysm\n",
            "80921 0.4266345878580919 causes change blood pressure monitor second time\n",
            "80922 0.33462558083598415 trying pregnant husband rosuvastatin cholesterol diclofenac inflammation cause low sperm count\n",
            "80923 0.44898639892846426 aleve naproxen feels like heart poundsraces feel weightless like floating normal concerned\n",
            "80924 0.14991965043062228 underlying causes aortic valve cusp prolapse regurgitation\n",
            "80925 0.25960194903262424 year ago 1 flu throat 2 head painpressure 3 malaise 4 heartbeats gripefever\n",
            "80926 0.22242719494440144 visit gynecologist turning 18 january sex pcos htn lisinopril hctz provera medroxyprogesterone\n",
            "80927 0.4038123862058811 ct scan fluid lungs heart problem like disease failure\n",
            "80928 0.36010767053077963 vaginal estrogen cause blood pressure rise oral hormones im hoping bypassing liver work\n",
            "80929 0.24254792844609582 reduced cardiac output diabetic ketoacidosis\n",
            "80930 0.305344048626175 causes sudden spike blood pressure zig zag flashing vision\n",
            "80931 0.3311105981110533 blackout stand common thing\n",
            "80932 0.23612236101214806 furosemide called high ceiling diuretic high efficiency diuretic\n",
            "80933 0.10569849697700474 upper endoscope abdominal aneurysm\n",
            "80934 0.33934176964015833 chemical changes place romantic heart\n",
            "80935 0.5336710705272064 paranoid high mean like fralung someones going die heart starts beat fast\n",
            "80936 0.37412398913578987 reason having trouble breathing tingles body\n",
            "80937 0.34213915442753734 left chest hurts breath\n",
            "80938 0.4236891700680937 sitting laying heart starts beat fast slow deep breaths return normal seconds\n",
            "80939 0.32758787477332046 cause heart burn pregrnant\n",
            "80940 0.25358315564148953 seen ct chest angiogram contrast versus contrast contrast different things\n",
            "80941 0.4764987073472847 isnt doctor concerned current blood pressure reading 180110 feel okay headache dizziness significant stress\n",
            "80942 0.37119354518508646 causes passing paleness cold time happend times year\n",
            "80943 0.18375389573537282 lead shortness breath\n",
            "80944 0.34351694673704414 wake middle night gasping air months ive dr dont acid reflux age 24 80kgs\n",
            "80945 0.23258638910887366 hypertension primary hypothyroidism\n",
            "80946 0.2660602779089215 difference diclofenac sodium diclofenac potassium given person hypertension\n",
            "80947 0.48425874721643697 woke xtrem hard pounding heart fast hard waking scary dream worry heart nightmare\n",
            "80948 0.3191746951279254 told im candidate hormone therapy menopause migraine history increases stroke progesterone ok\n",
            "80949 0.4632909587291715 number blood pressure considered dangerous came home work minutes later checked 140100 negativesmiley worried\n",
            "80950 0.37182193456918694 exactly difference beetwin fluxetine propranolol mean uses effects\n",
            "80951 0.34612950882525395 laugh got chest pain sleeping wake suddenly chest pain\n",
            "80952 0.2738861518275484 causes sunburn like rash chest upper arms thighs accompanied purple swollen feet ankles\n",
            "80953 0.4709263162181702 effective way youve regulate hormones fight flight response leads high blood pressure\n",
            "80954 0.2501488433801397 mri having mini stroke\n",
            "80955 0.4492121934050381 given 2 mgs lorazapam mistake passed felt heavily drugged strange thinking overdosed work right away\n",
            "80956 0.37375810546940064 whats best herb herb vitamin cholesterol\n",
            "80957 0.3531237597821125 viruses heart beat faster\n",
            "80958 0.33157312923557847 mini heart attacks easily treat\n",
            "80959 0.4058525679159026 fingernails started curving grow long affects index middle fingers hands\n",
            "80960 0.4610184587109292 heart beats feels like forced pump like somethings touching like lungs ribs possible causes\n",
            "80961 0.4693182555834435 weather changes trouble breathing help\n",
            "80962 0.3681612204288246 treatment leg swelling age 57 basic treatment require specialist doctor\n",
            "80963 0.42415106437922045 arent alpha blockers usually considered doctors level defense high blood pressure\n",
            "80964 0.24779545655021945 considered dangerously high bp\n",
            "80965 0.4410532938956171 signs bad heart\n",
            "80966 0.16539564827448808 difference thrombosis atheroma embolism\n",
            "80967 0.47261931447053557 accurate way check pulmonary emobolism fluid build heart chest conditions mri regular xray ultrasound\n",
            "80968 0.44802408544127714 woke difficulty breathing possible im allergic new guy im seeing\n",
            "80969 0.15146747012366277 physical activities shouldnt mitral prolapse\n",
            "80970 0.27540387488157597 normal blood pressure 15 yr old female 105 pounds 5ft 3\n",
            "80971 0.33370606995159235 symptoms congestive heart failure able walk 3 miles hour mall level incline ankle swellin\n",
            "80972 0.4095871544734962 im easy feel cold room temperature 73f feel shortness breath fingernails turn blue\n",
            "80973 0.36309900913399906 ideal timing repair av canal defect tetralogy fallot child 4 months old delivered premature growing slowly\n",
            "80974 0.39346957281596273 healthiest protein breakfast 43 yr old male borderline high cholesterol\n",
            "80975 0.23057742684871715 test tells level angiotensin ii\n",
            "80976 0.4720687299062223 feel stress heart feels like racing normal\n",
            "80977 0.3946254658244892 causes sharp stabbing upper left abdominal pain comes goes worse laying throat feels tight normal cardiac workup\n",
            "80978 0.3996914674279448 strange dull pain left arm dont chest pain like month\n",
            "80979 0.31716450912162786 chances survival septicemia heart bypass dialysis\n",
            "80980 0.5094061735039606 elevated liver levels mean drink alcahol lot im 40 year old male coronory heart disease help\n",
            "80981 0.3710802606899898 affect testosterone replacement therapy cardiovascular read vasodilation benefits true\n",
            "80982 0.41693305406548886 whats differance bronchiectasis vs asthma copd emphasima similarities diseases stop coughing night\n",
            "80983 0.35283690981816973 person white coat syndrome normal home high persons blood pressure readings actually\n",
            "80984 0.2585053800316991 prednisone help paresthesia nerve study normal imuran plaquenil hydroxychloroquine form vasculitis\n",
            "80985 0.38204894951753066 whats risk lowest blood pressure high blood pressure\n",
            "80986 0.22248383081561854 artery feeds temporal lobe involved stroke produce noticeable symptoms\n",
            "80987 0.22092964446253696 difference plasma renin activity pra vs plasma renin concentration prc\n",
            "80988 0.2117554521990864 shortness breath faintness mild exertion asthma\n",
            "80989 0.25785932101480186 mean hbp age og 20\n",
            "80990 0.30177314710300224 travel plane bypass surgery 22112013 want fly delhi mumbai2 hrs flight\n",
            "80991 0.1848247253743931 chest ache intermittently\n",
            "80992 0.19392603920238963 irbesartan aspirin effects\n",
            "80993 0.1354929931558162 number milligrams toprol metoprolol equal 12 5 mg atacand\n",
            "80994 0.47100252969934403 cause chronic left arm chest pains young adult problem past year 2 clean cardiac eval started\n",
            "80995 0.29135338804829847 taking hawthorn sticking ramipril better lowering bp\n",
            "80996 0.5167441448800257 whats good blood pressure 53 year old woman\n",
            "80997 0.10167253903099555 effects inderal propranolol la\n",
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            "81001 0.27834146111224634 thyroid medication blood\n",
            "81002 0.2480028405665298 alcoholic drinks recovering cardiac mayopathy\n",
            "81003 0.36871513121179955 causes pain center chest sharp pain intensifies shoulders push inward pain comes goes random times\n",
            "81004 0.1821814522150191 lead coronary artery disease\n",
            "81005 0.2590988218128163 cause severe positional headache light sensitivity stiffness neck microdiscectomy small hairline anyerusm ct scan post op\n",
            "81006 0.3664579773420399 reason nurse aide insist persons blood pressure known office existing white coat hypertension\n",
            "81007 0.3411524762275735 having breathing problems past 4 months\n",
            "81008 0.44378381107972775 eat thats slightly spicy trouble breathing\n",
            "81009 0.4030922573035879 reduce risk heart disease\n",
            "81010 0.3069424516948224 breathing problems asthma\n",
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            "81012 0.27734842830141637 stress left collarbone arm discomfort immediately stressor occurs different angina\n",
            "81013 0.33405862404625464 causes trouble taking deep breaths yawns satisfying chest pain occurred days\n",
            "81014 0.560730999639181 good exercise plan\n",
            "81015 0.37213167314219936 reason patients weak hearts place unsuitable candidates heart transplant\n",
            "81016 0.3880422808324362 trouble breathing nose cause fix\n",
            "81017 0.3330865393463248 niacin flush clean free thc\n",
            "81018 0.3681286817955683 diagnosed 13th month dvt night started having trouble breathing common\n",
            "81019 0.3218430238883354 considered normal blood pressure\n",
            "81020 0.3483560742134083 risks high blood pressure\n",
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            "81022 0.11727794649077981 pots\n",
            "81023 0.3145597790871952 cause chest tightness squeezing exercise isnt angina type pain typically increased exertion\n",
            "81024 0.21207185900084566 causing pain left breast rib cage ablation causes left chest tightness sob\n",
            "81025 0.34241523622307224 symptoms stroke related nerve paindamage way\n",
            "81026 0.25884209863684565 occurs renal failure heart bypass surgery\n",
            "81027 0.3070612410735558 headaches nauseous short breath mean\n",
            "81028 0.1724617036703119 end systolic dimension 3 2 cm end diastolic dimension 4 9 cm normal heart condition mitral valve\n",
            "81029 0.31412038576610257 worst headache feeling faint ocular miagrane\n",
            "81030 0.4642731888257901 shock body mean anxiety im low vitamin d stop shock heart racing like usua\n",
            "81031 0.08676735677599609 chromosomal mutation results alagille syndrome\n",
            "81032 0.34356077725059797 safer average dose klonopin ativanfor patient cardiac disease 2 stents lad\n",
            "81033 0.12792865776072848 vascular graft aneurysm abdomen\n",
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            "81035 0.24364144759922732 wat cause u blackout\n",
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            "81037 0.3736967856005926 whats omega 3 consumption perday consume ground flax fish fish oil supplements day studies showing limit\n",
            "81038 0.4046200255507565 exactly pulmonary hypertension secondary otitis media mean\n",
            "81039 0.3641559352228757 causes treatments long term coughing breathing problems lupus lse infection fever\n",
            "81040 0.27968082464157906 mvp problems cause\n",
            "81041 0.17244738223877365 causes implications eosinophil cells biopsy pericardium result effusion 1 liter blood drained\n",
            "81042 0.37777441433538006 causeimplictns bend right ventricle abnormal rhythm patterns 28 healthy frequent palps fainting laymens terms\n",
            "81043 0.2868119771176797 chronic non diagnosed chest pain uppeback pain chest pain center chest slightly left flareups 23xmonth\n",
            "81044 0.35902903300677447 symptoms acute sinus infection plus chest hurts throwing\n",
            "81045 0.44153111525150607 whats pressure lift brest\n",
            "81046 0.37203515880965 taking apple cider vinegar harmful unborn baby u heart burn\n",
            "81047 0.28728645039727885 heart scan better ct scanner ultra scan\n",
            "81048 0.31259404392268375 risks involved pectus excavatum sunken chest surgery\n",
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            "81051 0.39762855309196493 mean hear heart beat ear\n",
            "81052 0.35441892211980147 bp goes emotionally stressed extreme headache red hot touch hist htn pcos lisinopril hctz provera medroxyprogesterone\n",
            "81053 0.37446228038799456 stressed bp goes higher normal 13090 normalized wmeds headache hot touch red cause hist htn pcos\n",
            "81054 0.3242592416555714 whats standard treatment class 2 patient systolic heart failure\n",
            "81055 0.1604527251731527 difference inderal la 80 tablets propranolol\n",
            "81056 0.15713975641224376 si cause hypertrophy heartthickenngenlargement\n",
            "81057 0.26676831958050906 flying affect carotid bruit\n",
            "81058 0.3772120907420112 mean blood pressure pulse 10668 98 9negativesmiley48 130 standing\n",
            "81059 0.3394285287147415 normal blood pressure 52 year old women\n",
            "81060 0.29007066429691364 normal blood pressure\n",
            "81061 0.30673741956975115 proper treatment lipid storage disorder\n",
            "81062 0.10518782786734866 chromosome affected marfan syndrome\n",
            "81063 0.4651199801253201 cholesterol mean little higher normal\n",
            "81064 0.27625846767299217 cause heart angeoplasty cathorization\n",
            "81065 0.348798634674194 odds dying heart surgery age 16\n",
            "81066 0.1767650769317004 tortuosity thoratic aorta mean\n",
            "81067 0.4152119090861383 high cholesterol mean\n",
            "81068 0.41914195041839925 possible causes low blood pressure based factors maintain normal blood pressure\n",
            "81069 0.3651773356929927 use lower blood pressure medication\n",
            "81070 0.32074888176162025 cause sudden strokeseizure symptoms sudden onset cardiac edema low blood pressure chest pressure non epileptic geriatric\n",
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            "81073 0.131806380433283 defined vascular calcification abdominal aorta\n",
            "81074 0.372856751412027 whats difference autonomic neuropathy pots\n",
            "81075 0.09009650995888437 quantity clonazepam blackout\n",
            "81076 0.1391170441373315 patients require coronary angiography\n",
            "81077 0.24452792461179057 causes blood clot form heart\n",
            "81078 0.33133564797400405 statistics heart transplant failed fontan\n",
            "81079 0.2993878878252045 hypertensive patient weigh 165 lbs physician prescribed nipride nitroprusside 3 mcgkgminute iv administer\n",
            "81080 0.34160326145205705 cause upper body vibrate strongly minutes waking pregnant pots migraines anxiety\n",
            "81081 0.28749915611054694 chest pain edema left foot meniscus hurt bound way\n",
            "81082 0.2744421575770206 cardiovascular response shock\n",
            "81083 0.3010707462684455 new treatments andor drugs congestive heart failure\n",
            "81084 0.4174746569196175 best foods lower ldl cholesterol 37 year old male 142 ldl dont eat beef cheese chocol pork shrimp\n",
            "81085 0.3160175056141335 causes chest pains shooting awhile\n",
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            "81087 0.19766867747923805 testicle pain swimming breast stroke\n",
            "81088 0.19110494060054561 postcataract surgery retinal detachments occur retinal pulling involved posterior vitreous detachment pvd\n",
            "81089 0.22835283106340828 lead heart murmur age 40\n",
            "81090 0.24390920758297963 luvox mix ok lamictal tegretol klonopin andro gel onglyza saxagliptin vitoryn plavix aspirin coreg losartan isosorbide zoloft safer\n",
            "81091 0.2295117395659941 happens cardiac enlargement heart enlargement\n",
            "81092 0.3436646224724365 heart disease severe signs symptoms fatal indications patients presentation heart problems\n",
            "81093 0.3882185680036729 optimal dosage omega 3 fish oil adhd depression mental wellbeing\n",
            "81094 0.3103817027322686 diet low bp person effects low bp precautions\n",
            "81095 0.39638568165695987 best treatment arteriosclerotic cardiovascular disease\n",
            "81096 0.26695680849554676 kind doc leg artery bypass surgery\n",
            "81097 0.2767480498689749 quantity dosage omega3 supplement to18years old mildautism\n",
            "81098 0.2975399705730914 medication non cardiac chest pain\n",
            "81099 0.3284629290765064 low blood pressure cause restlessness\n",
            "81100 0.36831128577256395 preferred accurate test comes diagnosing coronary artery disease doctors\n",
            "81101 0.3208550457420651 sharp pain near heart\n",
            "81102 0.17073688626116812 uncommon acute coronary syndrome symptoms\n",
            "81103 0.5018585602873724 helpful health news stories 2013 hype\n",
            "81104 0.19109009975883967 causes fatigue sarcoidosis\n",
            "81105 0.24975047730009328 change heart transplant baby born hypoplasie right ventricular tricuspid vdc defect\n",
            "81106 0.13566047302631373 echogenic intracardiac focus\n",
            "81107 0.37856916108816624 reduce high cholesterol 250\n",
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            "81109 0.2103971879124393 severe chest pain\n",
            "81110 0.28813453524472954 risks involved heart stents\n",
            "81111 0.24667781743801762 gold standard diagnosis coronary heart disease\n",
            "81112 0.3150792712075365 cause acute change gfr dropped normal range 42 2 month period cr 1 5 lupus patient trace protein norm bp\n",
            "81113 0.31688452425313607 kind cough medication sarcoidosis\n",
            "81114 0.3764773864678562 conginital heart disease ebstein anomaly consider disability\n",
            "81115 0.21079618116441867 aortic aneurysm need advice\n",
            "81116 0.3079919370599337 good post aortic dissection treatment pain\n",
            "81117 0.3693721232896325 common heart diseases older women\n",
            "81118 0.34759124097549055 child stop seeing pediatric cardiologist begin seeing general cardiologist\n",
            "81119 0.2367551320344589 elimination prosthetic valve mismatch patients receiving aortic valve replacement smaller sized ao size 19mm valve\n",
            "81120 0.314628819069506 foods dilate blood vessels andor increases blood flow especially reynauds\n",
            "81121 0.49202442797831936 foods herbs supplements best heart health\n",
            "81122 0.2646294292655295 diagnoses heart ultrasound\n",
            "81123 0.2609278583104945 exercising bp 15790 pulse 107 117 normal range exercising\n",
            "81124 0.38880352530008366 possibly cause difficulty breathing warm areas\n",
            "81125 0.4661293660174406 feel foggy dizzy sitting standing long periods time blood pressure anxiety worst sun public\n",
            "81126 0.41781150854056837 mean feel like lung cold n wheezing feeling cold short breath coughs\n",
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            "81128 0.3198511320219516 best treatment patent ductus arteriosus asd hole\n",
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            "81130 0.4851971504265956 treat bad cholesterol\n",
            "81131 0.597921726194864 468 bad cholesterol know s high im taken crestor rosuvastatin kept going pls help\n",
            "81132 0.28157349141539234 average life expectancy having left ventricular assist device lvad installed\n",
            "81133 0.36202148733693584 different types hypertension medication\n",
            "81134 0.5355717094262891 think hydrochlorthiazide long\n",
            "81135 0.2952891005440964 best remedy shortness breathdifficulty breathing\n",
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            "81137 0.43028427987799567 anxiety attacks flare everytime sleep schedule gets messed stomach hurts throat feels agitated heart races time\n",
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            "81139 0.41123506594827414 weakness inability concentrate chest pain symptoms sound like\n",
            "81140 0.2668272163496594 sitting lying cough suspect asthma use salbutamol inhaler shortness breath diagnos\n",
            "81141 0.2816564996471537 possible effect coumadin warfarin\n",
            "81142 0.3081997256326584 type lab work needs coreg cymbalta duloxetine\n",
            "81143 0.28955288975736726 pros cons balloon angioplasty bypass surgery\n",
            "81144 0.501232587371366 menu low cholesterol diet dont know suggestions\n",
            "81145 0.3868530327830016 mean u low blood pressure\n",
            "81146 0.09627439375067265 wegeners granulomatosis vasculitis\n",
            "81147 0.31098822297782 prescribed patanol olopatadine allergies drops burns eyes normal\n",
            "81148 0.38039838338984666 left chest pain gets worse im breathing feels like radiating breast center upper chest\n",
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            "81150 0.3138416521046526 cure heart cancer surgery\n",
            "81151 0.16193098386282895 aortic valve problem angiography necessary ecocardiography\n",
            "81152 0.2770433361195736 preciseness carotid artery ultrasound detect heart problems\n",
            "81153 0.33835493241000836 constitutes high blood pressure 77 yr old women\n",
            "81154 0.2990392815194362 blood tests mean cmb cmp fasting lipid panel\n",
            "81155 0.3356330350829164 best total serum cholesterol level deciliter\n",
            "81156 0.3552491514697847 child start seeing general cardiologist instead pediatric cardiologist\n",
            "81157 0.38374412336882124 lost use left hand having triple pass ct scan nerve damage\n",
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            "81159 0.29227399321704495 sodium recommended daily person chf\n",
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            "81161 0.5053248032054083 things use hospital shock people heart beat\n",
            "81162 0.34580985114445284 binge drinking bad heart blood arteries\n",
            "81163 0.148128024472409 normal price ct angiogram abdomen\n",
            "81164 0.2497876094656169 58 yr old male lipid prophile total cholesterol 220 hdl 57 ldl 160\n",
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            "81168 0.26673411914956274 ation think thats spelled aorta\n",
            "81169 0.20337532434860922 hypertensive emergency untreated cause aortic dissection ultimately rupture\n",
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            "81175 0.12765323748881555 antinuclear antibody detected cardiolipin ab igg results imply\n",
            "81176 0.1923052602968878 exactly obstructive hypertrophic cardiomyopathy\n",
            "81177 0.25271441833926 copy heart mri\n",
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            "81187 0.4436009604206117 mean water retention worse drinking water\n",
            "81188 0.4580575530454751 tried 2 manually revive grandpa attack died heart beat 4 doctors come sooner 30mins chance\n",
            "81189 0.243003798721529 benign hypertension\n",
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            "81196 0.15077085036849516 person left ventricular systolic pressure 180 mmhg aoritic systolic pressure 100 mmhg explanation\n",
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            "81200 0.3567704475840026 minimally invasive heart bypass surgery soon wondered\n",
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            "81202 0.24391822649581135 lead snapping joints chest tightness frequent urination muscle joint pain\n",
            "81203 0.29582288413355595 likely causes heart failure treatments\n",
            "81204 0.12540947087019033 sinus brady cardiac ventricular hypertrophy\n",
            "81205 0.31116476934525406 dvt pain come constant normal d dimer doppler ultrasound past month pain intermittent calf thigh\n",
            "81206 0.3733506516571442 medications helped suffer chf congestive heart failure diabetes\n",
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            "81210 0.2112014122083207 non rheumatic mitral valve disease unspecified\n",
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            "81212 0.39336069249663086 doctors listen heart exam\n",
            "81213 0.3565526510233262 good multivitamin omega 3 22 month old\n",
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            "81218 0.20697991206931593 difference systolic diastolic chronically increased arteriosclerosis\n",
            "81219 0.509668225107555 bad cholesterol good cholesterol indicate\n",
            "81220 0.18062910736844162 med ication usually taken norvasc amlodipine\n",
            "81221 0.4309681052204823 difference glaucoma occular hypertension thanks lot\n",
            "81222 0.22179472282470306 severe chest pain unbearable\n",
            "81223 0.17575851969362022 main symptoms pulmonary embolism\n",
            "81224 0.18309572173307045 odds 16 yearold getting abdominal aortic aneurysm\n",
            "81225 0.37829893032906586 know central nervous vasculitis\n",
            "81226 0.3907696407438102 cardiac mri like childrens hospital\n",
            "81227 0.07985679442228759 inventor ventricular assist device\n",
            "81228 0.40370189785068417 think low blood pressure signify\n",
            "81229 0.20640889554748482 prognosis pheochromocytoma patients\n",
            "81230 0.3028026228005303 withdrawal symptoms stop taking hytrin terazosin suddenly\n",
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            "81234 0.29274321900367106 type scan checks heart defects\n",
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            "81240 0.09714390004115966 process transesophageal echocardiography\n",
            "81241 0.3578558894091378 recently took blood pressure 7251 16 year old female 51 110 pounds mean\n",
            "81242 0.15624318529316528 mitral valve prolapse feel\n",
            "81243 0.07409554387093692 wha aortic stenosis\n",
            "81244 0.16945422375678051 dont use b2 agonist angina pectoris\n",
            "81245 0.2614628561453164 likelihood hole heart birth defect occur\n",
            "81246 0.3256793097271585 test diagnose heart valve disease\n",
            "81247 0.14051150036954782 iscompresion stocking\n",
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            "81252 0.3192306228197442 causes consequences having enlarged heart\n",
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            "81254 0.23975070910837695 treatments available pre menses symptoms causing symptoms including breathlessness hypersomnia severe fatigue\n",
            "81255 0.19454047404605118 severe emphysema large bullae\n",
            "81256 0.41082498274336693 wake racing heart afraid daily errands appetite fear real fear overstimulation leading panic attack\n",
            "81257 0.3950914671865886 went er previously chest pain anxiety said inflammation chest didnt meds ok\n",
            "81258 0.40904130715122156 ok omega 3s derived fish eat fish hive breakout ways omegas\n",
            "81259 0.2384747528521625 diagnostic investigation congenital heart defect include\n",
            "81260 0.27581599377855587 survival rate renal failure heart failure\n",
            "81261 0.43880067927774424 cause sharp deep pain heart comes goes person drink caffeine record heart probs\n",
            "81262 0.17673947783768743 coumadin warfarin\n",
            "81263 0.3450528333653073 causes blood pressure digital monitor irregular hb symbol 1 5 times use\n",
            "81264 0.33809824259463606 supplementsherbs improve blood circulation\n",
            "81265 0.47835100043861173 heart hurt lay left feels like digging\n",
            "81266 0.28553936970237265 docs think cozaar losartan midodrine taken\n",
            "81267 0.4016381569857361 stop coughing taken tussinex high blood pressure medication\n",
            "81268 0.4047617798016127 happened heart whos diagnosed bad peripheral arteriosclerosis\n",
            "81269 0.4335693020515502 drank strong coffee yesterday 9000 elevation heart started racing bad\n",
            "81270 0.2494115945166589 lead fever child conginital heart defect\n",
            "81271 0.3227408840403866 occurs doctor prescribes cardizem 62 yr old man normal blood pressure\n",
            "81272 0.19523671376898422 drug superior pradaxa warfarin metal bare stents history atrial defibrillation\n",
            "81273 0.22988070688485457 heart bypass coarctation aorta age 36 artificial graft longer\n",
            "81274 0.31744813611477646 meant pulmonar doctor telling chest tightness lung pain breathing problems ischemia lung\n",
            "81275 0.28121017936995607 cause lower pain travels buttock noticed fosamax lipitor atorvastatin asking grandmother\n",
            "81276 0.21996851571253917 heart condition called double outlet ventricle syndrome\n",
            "81277 0.09575809863479842 causes atrioventricular septal defect\n",
            "81278 0.22334498379271275 main symptoms deep vein thrombosis\n",
            "81279 0.42832518866504476 moderately severe cryofibrinogenemia requires treatment type specialist best consult disease considered form vasculitis\n",
            "81280 0.42020266593336614 amputation help 87 year old mom treatment included blood thinning medications toe turned black dr says\n",
            "81281 0.36495161498642253 bend twist lay severe chest pain persisting 4 days little cough mild asthma shortness breath\n",
            "81282 0.39692890514448226 cardiac pain happens rest occur excursion happen rest fine excursion\n",
            "81283 0.4623253912143849 supplements best controlling depression anxiety ive heard omega3s 5htp taken alongside meds\n",
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            "81286 0.466119828852704 woke 2hrs falling asleep short breath racing heart felt better able sleep couple hours heart related panic attack\n",
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            "81768 0.28933039620688755 causing heart disease\n",
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            "81779 0.35959281381712344 advise chest pain taking deep breath\n",
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            "81821 0.3047313694180068 advise chest pain shortness breath 16 year old girl\n",
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            "81839 0.13134340751199966 cardiac catheterization femoral artery vein right femoral left\n",
            "81840 0.4435355863508358 chest pain got worse laying relieved putting 2 pillow help reduce breathlessness\n",
            "81841 0.397854570255872 went started minocycline huge pimples started form derm imposs hold use bp got burned\n",
            "81842 0.2520585996760385 stopping amlodipine suffering effects flushing pins needles muscle cramps permanent\n",
            "81843 0.3424719774722197 went family gp tension headache said anxiety bp ok pinkish mucus forehead ache face pressure month\n",
            "81844 0.07021155055618149 stroke volume ventricle\n",
            "81845 0.4931529862353347 reason heart reacting super sensitive going like extreme dangerous\n",
            "81846 0.3078311029038341 63 year old moms massive ischemic stroke having secondary edemaswelling 710 days later\n",
            "81847 0.30438554715122984 diagnosed pcos pregnant husband taking micardis telmisartan ang im taking seretide thanks\n",
            "81848 0.3112426357760579 whats causes thickened leaflet heart valves ibe diagnosed type mvp\n",
            "81849 0.22703571000991674 relation mvpthickened leaflets patients height\n",
            "81850 0.3380152827669993 advise chest pain pain left breast scared\n",
            "81851 0.4467756340273657 eat sharp pain near heart swallow cancer talk doctor tube throat\n",
            "81852 0.3187830443019424 heart transplant anti rejection meds kidney disease failure\n",
            "81853 0.5276166442301211 makes person lose control emotions t like situation chest starts hurt short winded\n",
            "81854 0.3047471913105508 stip feel short breath walk house thoracotomy procedure weeks ago 3 lung collapses\n",
            "81855 0.2194820532459005 suggest carotid endarterectomy dec 20th need advice\n",
            "81856 0.4422931472193047 suggest 16 years old girl getting echocardiogram tomorrow going\n",
            "81857 0.37159264596923686 left arm numb eat feel chest pains\n",
            "81858 0.3227137560103693 advise chest pain fatigue dizziness muscle weakness know\n",
            "81859 0.23226839808980002 foot swelling minor injury\n",
            "81860 0.35228521731829326 high blood pressure high ldl cholesterol diabetes high hdl cholesterol\n",
            "81861 0.394173410384215 normal pulse pressure range range 2535 standing times laying 4565\n",
            "81862 0.2962778925055015 hole heart condition causes tiredness breathlessness exertion enlarged heart\n",
            "81863 0.30941671501980655 normal pulse pressure narrow wide pp 2535 4565 2535 standing 4565 llying\n",
            "81864 0.29922640790179433 cause toes curl seize sleep horizontal accompanied numbness tingling poor circulation\n",
            "81865 0.4570142386460021 stop moving feel light headed gravity pulling soul downwards blood pressure examined help im dizzy im17yrs\n",
            "81866 0.2295693192037415 suggest taking hydrochlorothiazide feet ankle swollen\n",
            "81867 0.5367686131780656 sleep left heart pounds sleep left come right dont feel ideas\n",
            "81868 0.4590510949535709 vitamins taken womens health age 21 overall health nails skin bones hair teeth eyes heart womens body\n",
            "81869 0.45050556648178164 im worried open heart surgery non invasive ways performing operations\n",
            "81870 0.42736264818854636 heart felt like quivered twice beat fast minute\n",
            "81871 0.3618778949999469 went urinalysis test ok complement c3 c4 serum low total iga high hv hep c n cirohsis low bp taking diuretic pl advice\n",
            "81872 0.32939371725862376 cause sudden severe trouble breathing\n",
            "81873 0.29074681131454955 cause throat swelling difficulty breathing occur\n",
            "81874 0.288373612945533 diuretic effects hctz hydrochlorothiazide gave weird effects lethargy chest tightness anxiety\n",
            "81875 0.37299933775650657 weird painish chest pain entire upper abdomen ultrasound polyps gallbladder nothin tired lots anxiety ideas\n",
            "81876 0.24239199952915136 creatine kinase blood test looking\n",
            "81877 0.4792899126971128 high triglyceride good way lower\n",
            "81878 0.3004070064356437 suggest 28yrs old male blood pressure 117 sys 88 dia 81 pulse\n",
            "81879 0.5040657826875917 feel heart beating believe anxiety think im depressed havent told doctor\n",
            "81880 0.09136650532752452 mean mca aneurysm thrombus\n",
            "81881 0.30975691167516284 tests diagnose micro vascular disease diagnosis exclusion\n",
            "81882 0.30753158464627367 chronic af severe nosebleeds im warfarin aspirin antidote new anticoagulants options age\n",
            "81883 0.2461836152712623 high blood pressure medication licinopril hctz hydrochlorothiazide\n",
            "81884 0.3048384869470601 mitral valve prolapse abscess tooth swelling left eye gonna b ok\n",
            "81885 0.19473242716715444 normal reactions iodine ct angiogram\n",
            "81886 0.3555740175436206 heart beat 89 tho im sitting couch\n",
            "81887 0.3829232174678586 im 67 blood pressure 14060 got high low blood pressure\n",
            "81888 0.23798756766497556 involved post op endoscopic fluorocostomy mri brain cad flow studies 3rd ventriculostomy\n",
            "81889 0.3484362272673467 levaquin levofloxacin bad people diabetes warfarin nerve pain im 3\n",
            "81890 0.4449416977717069 drinking water help lower blood pressure help weight loss water drink help lower blood pressure\n",
            "81891 0.25526172405847625 surgery like bicuspid aortic valve disease\n",
            "81892 0.5019640235862175 perspire eat dont sweat lot feel face weird thyroid normal pots\n",
            "81893 0.3365201847711186 heart beats hear stethoscope lubwompdub normal womp sound echo mri valves\n",
            "81894 0.5059237017773014 kind diet theyve cholesterol build heart\n",
            "81895 0.14775085442514435 use morphine acute pulmonary edema\n",
            "81896 0.4964866366290968 prefer patients blood pressure checked rest curious long rest checked recommended\n",
            "81897 0.3203802442713041 advise kinda wandering lead berry aneurysm punched head years ago\n",
            "81898 0.39829418745967904 wrong friend whos16 chest pain left going left shoulder rapid breathing weak\n",
            "81899 0.2663872971992774 dentist bp 13575 im usually 11990 anxious raise bp\n",
            "81900 0.4073440223617853 cause wake racing heart middle night causing pass happens sleep\n",
            "81901 0.4199979158758468 doctor asking upper gi endoscopyfor left breast stomach heart area link thx lot ad\n",
            "81902 0.4528113845553479 lisinopril lost 40 lbs gone extremely healthy 10 month check bp 2 days 12274 11negativesmiley68 wo takin lisinopril safe come im regulating\n",
            "81903 0.3152467206246866 anxious dr visits bp gone 160 came home 15 minutes came 130 whts real bp\n",
            "81904 0.33726319656238385 suggest small bruise red hard middle leg deep vein thrombosis\n",
            "81905 0.4562805122429459 causes fluid retention longer term nsaids mean long term\n",
            "81906 0.4301855099546787 high blood pressure eat salt free food\n",
            "81907 0.34895525041464553 walked time years mile blood pressure 12997 right walked waited 10 minutes checked 12185 normal\n",
            "81908 0.5389224457816427 changing quiet exercise heartbeat goes quickly feel chest stamina low im 24 yo\n",
            "81909 0.3998142851704925 mean lay feel heartbeat belly button\n",
            "81910 0.3982265774078883 walked time years mile checked bp right 12997 bad exercise came minutes later 12384\n",
            "81911 0.2952114948603343 infiltrated heart disease\n",
            "81912 0.16542523766988296 progression rheumatic fever\n",
            "81913 0.1602438292180736 wake hypotensive bradycardic\n",
            "81914 0.4108580728977237 face body significantly bloated drink glass water occurring situation years\n",
            "81915 0.2642305015168947 causes accumulationformulation body fuids severe cases 750 ml walls heart\n",
            "81916 0.30896128373464526 suggest 55 athlete bp mornings 9negativesmiley64 10770 standing night low\n",
            "81917 0.3929021732379838 advise open heart surgery 5 mos ago repair myocardial bridgeelse having problem surgery\n",
            "81918 0.4473828356483951 medical conditions cause low hemoglobin low mcv elevated liver enzymes im extremely fatigued excessive sweating fast heartbeat pai\n",
            "81919 0.352391437325218 cause sharp right chest pain goes neck right face ear pain arm\n",
            "81920 0.4086733179185712 drying hair w towel b pain w stroke towel heavy step thing near new wisdom teeth identify tooth applying pressure w finger\n",
            "81921 0.31334586683551396 lay chest experience severe chest pain feel nauseous\n",
            "81922 0.37376119288997 im 62 years old blood pressure 14484 high\n",
            "81923 0.32561517871921286 baby heart seen ultrasound wife gestational age 4 weeks gestational sac seen foetel node seen pls guide\n",
            "81924 0.3854511109886444 injecting vitamin b6 week help reduce ldl tg increase hdl regular walking age\n",
            "81925 0.43323326475939866 hurt 20 year old baby aspirin heart races anxiety especially 2 weeks period sad\n",
            "81926 0.4194469909599814 point stress echocardiogram coronory heart disease info appreciated\n",
            "81927 0.4237671503270396 stress echocardiogram narrowing mid lad gotten worse\n",
            "81928 0.3701446990842339 caffeine healthy persons blood pressure sky rocket\n",
            "81929 0.42695920341312155 subjective heart mean stepfather stints blockages bad heart takes blood thinner\n",
            "81930 0.31894193965304585 whats normal ideal sitting pulse blood pressure men systolic diastolic pulse pressure\n",
            "81931 0.43409655524062873 taking blood pressure home palms reading online says palm theyre slightly lower reading\n",
            "81932 0.34131949182942545 im feeling like eye blurry related arterial dissection aneurysm\n",
            "81933 0.4862041294174925 advise open heart surgery year ago little energy arms numb easiily breathing trouble\n",
            "81934 0.338144756289938 risks ftm taking testosterone ive t months 100 mg week started having chest pain\n",
            "81935 0.3522714036194482 recommend slight fever gradual weight loss chest pain haemoptysis chance tb cancer\n",
            "81936 0.3163342754585226 heart valve surgery blood type o\n",
            "81937 0.30861227559193116 diuretic start showing effect taking tablet\n",
            "81938 0.44388743974603745 low cholesterol healthy active 15 yr old fat tendons lubed\n",
            "81939 0.3643195185666122 meanings epa dha fish oil supplement fish oil good memory concentration\n",
            "81940 0.4359551652971441 blood pressure high need advice\n",
            "81941 0.3552376424392018 low blood pressure lay\n",
            "81942 0.29694588189930593 im 20 years old diagnosed hypertension\n",
            "81943 0.18701765725894398 2 drugs similar nitroglycerin\n",
            "81944 0.3647839832183448 effects taking 60 bills dianabol blue heart 20 days 2 bills day sleeping\n",
            "81945 0.38704815036817947 taking 60 bills 2 day danabol ds blue hearts 500 x 10mg steriods workout leads effects\n",
            "81946 0.4895356489163688 stand lines like roller coaster heart beats fast feel like im going pass isnt normal\n",
            "81947 0.1427855362245905 uncommon symptoms mitral valve prolapse\n",
            "81948 0.20223672977381124 overdose inderal propranolol effects like\n",
            "81949 0.17109288840761325 anger bp 16790 taking rest 5 mints bp 13181 normal behaviour bp\n",
            "81950 0.37355899401846954 advise heart skipping beat causing pain head\n",
            "81951 0.255916467937713 severe chest pain cough\n",
            "81952 0.06296480006292988 lightheadedness standingwalking associated orthostatic hypotension\n",
            "81953 0.3082419244731511 heart chest pain come constant random chest pain shoulder pain neck week\n",
            "81954 0.4134059007690964 whats good bc pill endometriosis treatment atherosclerosis prevention\n",
            "81955 0.31129068531845416 im experiencing frequent headaches hight blood pressure\n",
            "81956 0.30415028815932155 heart oral stomach cancer\n",
            "81957 0.2862140714336215 cause high levels creatine kinase low stomach acid\n",
            "81958 0.28583064714011797 suggest chest pain strenuous activity\n",
            "81959 0.29052170268679767 severe pain abdomen kidneys chest pain left help\n",
            "81960 0.26930500321746115 eyebags pallor hand involuntary hand tremors orgasm im talking hours related pheochromocytoma\n",
            "81961 0.38651721210904444 ssri best tremors lightheadness ill feelings normal ct mri head clear heart normal gi\n",
            "81962 0.41720920908899883 cardiac mri total occlusion mid lad artery past think possible dont want cath\n",
            "81963 0.16754831469145973 spinal strokes\n",
            "81964 0.3944651404469842 advise chest pains getting hit\n",
            "81965 0.5977959807378351 whats good poor circulation\n",
            "81966 0.3537046999300294 cough syrup having high blood pressure\n",
            "81967 0.3724242745353839 mean pinching heart pain eating slice cassava cake drinking 2 cups cold water mitral valve ai2\n",
            "81968 0.4891195100712404 periods irregular anybody know birth control cause water retention weight gain\n",
            "81969 0.32854237477004405 help continuous undiagnosed chest pain\n",
            "81970 0.27685611415751415 effects taking losartan potassium contol hypertension\n",
            "81971 0.5077734281455908 exercises best reduce fat fast quick\n",
            "81972 0.4139746101410954 difference taking ur blood pressure ur upper left arm lower left arm higher lower reading\n",
            "81973 0.3953165453836134 recommend lisinopril 20mil atenenol 50 mil feel sick thought fever blood\n",
            "81974 0.31224559309172684 ssri best choice aspirin 81 mglosartan 50 mg cardizem cd 150 far interactions\n",
            "81975 0.3806513823580242 advise heart failure breathing difficulty\n",
            "81976 0.43863700921104526 hear heartbeats try sleep normal\n",
            "81977 0.2449941770044997 mechanism causes fluid retention gabapentin\n",
            "81978 0.31533736466362905 tests perform realizing hematuria urine cytology tests having polycystik kidney disease hypertension help\n",
            "81979 0.2648764027412998 exactly cause seizure preeclampsia\n",
            "81980 0.4969489731577312 suggest having problem long time heart stops milisecond freak\n",
            "81981 0.4001217546628513 cause sharp pain ribs breath deeply straighten lay shortness breath fair pain\n",
            "81982 0.4220594826619086 continue having sharp pains heart pecks reasons\n",
            "81983 0.39248046391817737 took high blood pressure medicine mistake\n",
            "81984 0.3459591364964546 suggest 19 yrs old year dvt swelling away stop wearing compression socks\n",
            "81985 0.3503590891533419 cause new musculoskeletal noncardiac chest pain l arm underarm nerve tingling healthy subjects recommended tests\n",
            "81986 0.5209846937612596 work matter lite stomach tightens bloats breathing goes awry simply hard time breathing normal workout usually finish y\n",
            "81987 0.4895244307465341 think heart problems\n",
            "81988 0.365008116599229 advise chest pains quitting smoking\n",
            "81989 0.3332570105024224 kind heart murmur possibly\n",
            "81990 0.3176846317494365 advise stroke 2012 husband hospital 2 months hospital\n",
            "81991 0.34072962010903135 cause arms feel num little chest pain\n",
            "81992 0.1930211585643281 woman admitted 35wks gestation abdominal pains vaginal bleeding bp 110mmhg bleeding placenta immediate rx\n",
            "81993 0.4290282391640501 feel breathless eating gerd usually attacking night\n",
            "81994 0.2759833429777263 chest pain mean teenager\n",
            "81995 0.2275268615718124 suggest cough phlegm mild chest pain fever\n",
            "81996 0.34916270616253253 precent pregnancies preeclampsia blood clots stroke preemie worry im exposed increase chance\n",
            "81997 0.14499472116622766 pitting edema ankles feet low diastolic bp\n",
            "81998 0.31854207064885065 cause high levels tone stroke gabapentin help\n",
            "81999 0.5147270536417142 advise want help understand stroke\n",
            "82000 0.3373273118232799 prognosis individual having vasculitis hepatitis c copd\n",
            "82001 0.4376559986032521 im confused different fish oil capsules actually giving\n",
            "82002 0.4785090659941539 advise want help understanding process stroke\n",
            "82003 0.3433773520945328 doctor spect brain heart\n",
            "82004 0.40887246423155044 vitamins help sexually high blood pressure\n",
            "82005 0.12800538697101166 drug interaction strepsils amlodipine benelyn\n",
            "82006 0.30241646350635853 causes people congenital cardiac condition suddenly af\n",
            "82007 0.4703997045235296 chest pain left arm pretty weak cuz im right handed play basketball week chest pain light ones\n",
            "82008 0.32130254231416155 advise heart valve replacement surgery\n",
            "82009 0.4875780785888773 breath feels heart gets pressed feel heart clearer diafragma normal dangerous\n",
            "82010 0.33850337488634846 recommend fib cardioverted rythmol propafenone family doctor gave azithromycin ok\n",
            "82011 0.35523055938882925 having diarrhea nausea stomach week wanting eat cause low bp\n",
            "82012 0.258208334679007 headache chest pain severe dizziness associated high blood pressure\n",
            "82013 0.4198823738101201 im having bad chest pains\n",
            "82014 0.33495837745052204 happens heart breath air lungs\n",
            "82015 0.33284617441907594 dosage ranges bystolic nebivolol significant difference 5 10 far effective treatment\n",
            "82016 0.30292141338141065 normal heart beets minute 13 yr old boy diagnosed adhd\n",
            "82017 0.3332844935552526 neurological problem cause chest pain arm tinglingnumbness numbness right head face fatigue\n",
            "82018 0.3838466300611882 im having difficulty breathing cough\n",
            "82019 0.41041546291404907 whats called makes nervous bp goes high\n",
            "82020 0.35497344063386244 cause bad chest pain thoracoscopy surgery\n",
            "82021 0.36300705060954663 im having chest pain left nitroquick nitroglycerin time2 help\n",
            "82022 0.22478564407506563 friend tried kill night cutting femoral artery thigh razor blade bleed death cutting femoral artery\n",
            "82023 0.34165462296543475 high blood pressure drug spell sineprill\n",
            "82024 0.3600670318734261 cold chest hurts middle night andor morning cause\n",
            "82025 0.4408671545899926 advise heart failurehow little fluid intake\n",
            "82026 0.3540863704724726 listen apical pulse hear gurgling heart sounds like mt stomach chest mean\n",
            "82027 0.3500622103621107 high blood pressure young adults\n",
            "82028 0.4580402388854188 cause inner left elbow pain fear blocked artery doc says heart fine cholesterol ok\n",
            "82029 0.3979116146296936 bad head neck face chest pains stiffness heavyness took xray tell im normal\n",
            "82030 0.3497138775741135 recommend elevated triglycerides looking experts opinion\n",
            "82031 0.2191515364553586 fluid lungs liver cirrhosis\n",
            "82032 0.29272477463398366 went xray glands chest clear pain chest collar bone ovr 6 mnths eck 6 mnths ago normal blood count normal\n",
            "82033 0.2789419210353452 recommend heart angiogram 70 blockage left main coronary artery stint dr afraid block\n",
            "82034 0.3950027138432135 heart problems young age\n",
            "82035 0.31724375853304604 advise chest pains 18 year old female\n",
            "82036 0.4199169183075212 possibly cause sparklers eyes exactly like ones pregnant preeclampsia tubes tied pregnant\n",
            "82037 0.3968367358933556 cholesterol raised 5 6 im taking meds control\n",
            "82038 0.17362509976898466 headache intermittent pain aneurysm\n",
            "82039 0.4911348214975139 im having cardiac mri monday afraid reassure little x\n",
            "82040 0.1845314897436522 foot swelling foot\n",
            "82041 0.3351479648645496 cause intermittent feeling warmth chest throat breathe difficulty breathing feeling\n",
            "82042 0.34588926356739425 age develop heartvascular disease\n",
            "82043 0.22903942612985997 r possible alternatives anafranil treating severe purely obsessive ocd clomipramine zoloft sertraline lamictal propranolol trazodo\n",
            "82044 0.2697215073503045 caused sudden dizzy spell checked bp waking 10660 dizzy spell 1 hr later checked bp 11165\n",
            "82045 0.25688623865914734 dont bp meds prevent white coat syndrome bp 11565 home 15016080 dr appt\n",
            "82046 0.16752476754811974 new born heart mur mur\n",
            "82047 0.4329846610837172 advise heart echo results help understand\n",
            "82048 0.2947965923763997 waking pain left gasping air onset sleep nightly occurrence def anxiety\n",
            "82049 0.0884591324552107 complications lisinopril hctz hydrochlorothiazide\n",
            "82050 0.42371392446782385 blood pressure fluctuate lot varies bethween 105 mmhg 114 mmhg sign lifethreatening negativesmiley\n",
            "82051 0.3560843978268059 coumadin warfarin traveling come bout diarrhea stop diarrhea little effect inr\n",
            "82052 0.5212210346397862 good lower cholesterol\n",
            "82053 0.4203711946641031 use help night terrors cause bp dropping continue work therapy\n",
            "82054 0.41517994089021354 cause pain left chest breast left sternum feels like pushing fingers doc says heart ok\n",
            "82055 0.434946445960881 weird deep ache breast breast day happen think im scared heart issue breast\n",
            "82056 0.3649523881331839 chest hurts time wake morning headaches\n",
            "82057 0.2656751782837674 life expectancy 80 year old woman diagnosed pulmonary fibrosis diagnosed month ago bed bound\n",
            "82058 0.36540555185094903 cause burning tingling pain left breast pain covers entire breast doc says heart ok\n",
            "82059 0.13074849951394607 dvt deep vein thrombosis\n",
            "82060 0.4202736097617649 blood pressure consider perfect blood pressure 18 year old male possibly exact number positivesmiley\n",
            "82061 0.2880771426899353 wrong chest pains severe headache dizziness sore throat white tongue red spots\n",
            "82062 0.4000674711538104 advise im currently warfarin blood clot disorder know progress replacements\n",
            "82063 0.18432506487501893 120 capsules omega 3 capsules left expired 6 months edible\n",
            "82064 0.33402023642792417 high blood pressure teenaged girl help\n",
            "82065 0.31680097323093 advise heart murmur risk\n",
            "82066 0.30464134900006284 worried brain tumor couple episodes deja vu months mild headache symptoms ldh 125\n",
            "82067 0.23279292192648046 dvt pain leg away\n",
            "82068 0.42593963518662437 tongue different stroke seizure suppose like wondering like\n",
            "82069 0.3827919328448925 recommend dvt right leg dissolved direct injection location dvt feel pain away\n",
            "82070 0.3746171033695011 feel breathless tired uneasy afternoon eating afternoon evening\n",
            "82071 0.1152444961281131 recommend esophageal spasm coronary artery spasm\n",
            "82072 0.4747022565797418 advise chest pain like pressure gets worse left arm worried\n",
            "82073 0.3541476930026101 kind dr husband dizzy head gone heart dr took lasix furosemide having pro\n",
            "82074 0.10941058390700174 induced baby having pericardial effusion\n",
            "82075 0.2810191659319354 pain left lungs nights\n",
            "82076 0.41755528672024417 diet use high cholesterol\n",
            "82077 0.41090251411298295 foods shouldnt eat high cholesterol\n",
            "82078 0.24363202005545187 high bp cause hypoventillation e stimuation arterial baroreceptors cause decreased breathing rate\n",
            "82079 0.49160277006646685 advise heart disease nutrition\n",
            "82080 0.34974839094822824 high blood pressure pulse surgery\n",
            "82081 0.2358290619770423 hives swollenpainful joints chest pain fatigue unexplained severe bruising\n",
            "82082 0.04453154216238113 atrial septal defect repaired\n",
            "82083 0.27248493065047924 high blood pressure nosebleeds\n",
            "82084 0.38993449708466954 high blood pressure pills codiovan suggest natural alternative\n",
            "82085 0.37811665272210837 causes burning pain left shoulderblade breast tingling fingers ache arm comes goes doc says heart ok\n",
            "82086 0.4312461934626376 im 14 year old girl think heart problem\n",
            "82087 0.3713386392898874 advise heart valve surgery blood type o\n",
            "82088 0.37516188355033925 im year old female born hole heart think healed\n",
            "82089 0.4216070737401252 exercise help young people enlarged hearts\n",
            "82090 0.36219241777283684 high blood pressure early pregnancy\n",
            "82091 0.23031538925153053 heart failure cured\n",
            "82092 0.266625360489712 advise chest pressure inversions\n",
            "82093 0.40357486076048393 high blood pressure 72 year old help\n",
            "82094 0.35833177518895054 exhale heart slows dramatically inhale speeds dramatically 16 years old male sportly unhealthy\n",
            "82095 0.41830312321745194 strong pulse carotid arteries mean weak mean high blood pressure cause strong weak pulse\n",
            "82096 0.1843489369280002 good homeopathic medicines calcified aortic valve aortic stenosis\n",
            "82097 0.30616186688007496 high blood pressure anxiety\n",
            "82098 0.4980943476333212 taking blood pressure exactly mean arm hearts level tried different tables got different readings\n",
            "82099 0.27243081966674426 uctd cause chronic shortness breath mild exertion treatments alleviate breathlessness\n",
            "82100 0.35678364276005947 use bazuka circulation problem effect collagen vascular disease btw verrucas\n",
            "82101 0.3576635410859229 papvr abnormalities heart lead right heart failure rv enlarged normal function pressure lv normal\n",
            "82102 0.3207850596774037 palms r shiny scleroderma happened twice ive reynauds ive noticed 2 tiny red spots hands\n",
            "82103 0.3465206759274367 high blood pressure cause s cure\n",
            "82104 0.37270730967159177 high blood pressure birth anxiety attacks baby blues anybody suffered\n",
            "82105 0.42388785420633 quantity beans daily help reduce ldl male particular\n",
            "82106 0.31362066547142153 high blood pressure athletes\n",
            "82107 0.3324941022590018 high blood pressure surgery\n",
            "82108 0.21742610708692034 chest pain upper left breast\n",
            "82109 0.2881141168442354 high blood pressure\n",
            "82110 0.21769281027493714 happens case vagal cardiac inhibition\n",
            "82111 0.39518182313209194 advise im currently taking lipitor atorvastatin love grapefruit kill glass\n",
            "82112 0.2881141168442354 high blood pressure 190110\n",
            "82113 0.36638400213299394 cause pain left shoulderblade ribs left chest braline doc says heart ok pain arm fingers\n",
            "82114 0.3814413192942887 experiencing difficulty breathing sitting improves little standing emergent\n",
            "82115 0.3296761316639265 exercises running deteriorate mvp mr\n",
            "82116 0.4824434055971874 time shower feel like breathe good chest tightness\n",
            "82117 0.4304819841955535 went hospital blood pressure 13991 wheni checked worry\n",
            "82118 0.45074570460982805 sitting lying feel heartbeat stomach doctor said normal fit having flat stomach\n",
            "82119 0.3595380154055684 cause stabbing pains center chest breasts edge lower left breast doc says heart ok shoulder pain\n",
            "82120 0.39616601232369975 advise heart disease cancer nervous disorder\n",
            "82121 0.37705650930716417 use bazuka gel treat verrucas circulation problem effect collagen vascular disease btw\n",
            "82122 0.28099152253327525 normal size aortic valve 1 7 cm descending im small 27 year old female weigh 125 height 54 normal\n",
            "82123 0.2116878327429477 hypovolemic shock secondary gi bleed\n",
            "82124 0.40022030388330654 advise im worried enlarged heart heart transplant\n",
            "82125 0.34013674820308 blood test check rheumatic fever come boy\n",
            "82126 0.284234156416196 raynards syndrome poor circulation feet\n",
            "82127 0.45129223531048723 suggest eating disorder heart pain eating tell\n",
            "82128 0.21757271091381586 cause bp change 1156812575 13162\n",
            "82129 0.24968645238740633 symptoms problem trivial pulmonary trivial mitral regurgitation worsened\n",
            "82130 0.38358300591507805 causes sharp stabbing pain directly breasts doc says heart ok pain middle upper muscular anxiety\n",
            "82131 0.278689484799925 cause gasping air excersise\n",
            "82132 0.44698515208733364 went docs told viral infection gave nystan tongue feeling worse worse headache sore throat kidney chest pains help\n",
            "82133 0.42086185785140834 took blood test wrong long know immediately 24 hrs far 4 cbc lipid p\n",
            "82134 0.40463355793463085 getting sharp pain left rib cage whats causing\n",
            "82135 0.2881141168442354 high blood pressure pregenancy\n",
            "82136 0.3289428218600977 causes 10 mos intermittent left shoulder blade pain pain arm fingers pain eased deep breath fear cardiac\n",
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            "82141 0.08766039738888605 signs aortic anuersym\n",
            "82142 0.46697575569143607 u read heart function detailed way u tell u worry arhytmias u eat\n",
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            "82147 0.3215840927498963 propranolol effective widening blood vessels relieving heart pain vasoconstriction meds need added\n",
            "82148 0.3018610150970674 cause sharp deep pain chest left sternum symptoms chronic upper pain\n",
            "82149 0.3753827779568821 cause 1 sharp 5 second deep pain chest left sternum symptoms chronic upper pain fear cardiac pcp says heart ok\n",
            "82150 0.34966346546557203 causes intermittent second stabbing pain left sternum edge breast symptoms fear cardiac pcp says heart ok\n",
            "82151 0.41228266579804806 eat chest hurts\n",
            "82152 0.34438938495083904 im looking book cardiac catheterization pressure curves\n",
            "82153 0.3867789531903521 causes intermittent 5 second burning pain left sternum near breast symptoms pcp says heart ok fear cardiac issue\n",
            "82154 0.3759460968248142 advise im taking 5 mg lisinopril day borderline high blood pressure ok use viagra sildenafil\n",
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            "82156 0.4617038714343858 pure autonomic failure people usually die pulmonary embolis true pots patients aswell pots pretty benign\n",
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            "82159 0.43099073257936205 im 47 year old taking lisinipril 10 mg blood pressure 12266 somewhat hard breath\n",
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            "82163 0.3559356368232488 ct scan chestlungs wo contrast pulmonary embolism r options treatment able breathe better\n",
            "82164 0.34865909100058723 im 20 years old im diagnosed hypertension wondering\n",
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            "82167 0.430397228536451 advise im high blood pressure medicinediovan valsartan hct safe drink chamomile tea everyday\n",
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            "82171 0.25414564062713585 outcome process diagnosed mod severe ischemia inferior heart\n",
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            "82174 0.21317079964869973 complications having cardiac stents inserted\n",
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            "82178 0.18194234737235473 hypoplastic left heart syndrome\n",
            "82179 0.25040419713078566 diastolic pressure needed coronary arteries perfused properly\n",
            "82180 0.43382383552467113 feel tired sluggish time headache high blood pressure\n",
            "82181 0.4542431411592293 escape rhytms comes heart happen u extremely oversensitive autonomic nervoussystem\n",
            "82182 0.317077765215445 whats preexcitation read cause sudden death xtrabeats atria xtrabeats cause premature contraction prexcitation\n",
            "82183 0.33673382535023105 cause odd stretching vibrating sensation directly breasts lasts 5 seconds pain fear cardiac issue\n",
            "82184 0.26635430959677564 im 85 yr old male chronic afib 1995 midly impaired l vent systolic func mod severely\n",
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            "82186 0.35188938380838847 cause square look like rectangle eye square treated pvd\n",
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            "82190 0.30304381530325913 heart cath prior testing showed insufficient bloodflow cath shows\n",
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            "82193 0.3829232174678586 im 67 blood pressure 14060 got high low blood pressure\n",
            "82194 0.2089696106349075 doubling 10 mg lisinopril 12 5 mg hydrocllorothiazide lower bp currently 15080 needs 14090 dot physical\n",
            "82195 0.4348082873836657 run walk fast long time bit chest pain associated propranolol 20 everyday mvp\n",
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            "82199 0.39695912447476317 whats gonna happen took 350mg atarax hydroxyzine 4 pentalgines 7 diuretics coffiene\n",
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            "82204 0.4031720518245437 weird burning ache left breast right nipple lasted seconds cause pcp says heart ok cardiac anxiety\n",
            "82205 0.2407515461235108 proper time dsa test patient suffering sah vasospasm aneurysm detected ct angiography headache started 13 th april\n",
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            "82208 0.338755120549923 sleep night heart races\n",
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            "82210 0.41563207491323373 bed rest 2 months cause sick legs feel wobbly bit bone knee sore idea bone sore\n",
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            "82212 0.25554682842687027 elevate triglyceride levels\n",
            "82213 0.33399614514020515 heart surgery 6 month ago frozen shoulder right\n",
            "82214 0.3811407417356771 amisulpride changed abilify aripiprazole 2 days ago felt faint earlier blood pressure went pulse fast dangerous\n",
            "82215 0.40733523210780576 widen pulse pressure sbp dbp constantly 60 65 cardio tests shall order detect cardio disorder\n",
            "82216 0.21439101877126024 ct angiogram coronary arteries reveal pulmonary embolism lung disease harmful 2 ct scans month\n",
            "82217 0.25683975030845385 number milligrams nipride nitroprusside hour patient receiving\n",
            "82218 0.31136565858663123 enlarged heart ive heard shrinks true\n",
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            "82224 0.37629091560695366 alternate medicine poor circulation\n",
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            "82226 0.3607193372064607 happen took nopalina breast feeding\n",
            "82227 0.3931845469360864 advise heart starts racing random times\n",
            "82228 0.3286911647159815 cause intermittent burning pain center chest breasts bellow collarbone lasts seconds pcp says heart ok\n",
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            "82230 0.32420381345277105 causes pinching pains chest 5 second pricks breasts collarbone direct center chest pcp says heart ok\n",
            "82231 0.27581931798247594 im 55 yo female diagnosed 80 carotid artery blockage need surgery\n",
            "82232 0.46449972593425015 want opinions breathless year smoker white clear phlegm lung burn morning doc says anxiety 2pfts xrays heart test normal\n",
            "82233 0.16270672114401885 pregnant trimester taking 40 mg propranolol daily\n",
            "82234 0.21923858785856232 u common xtrabeats atria usually come sinus r ectopic u ectopic r malign\n",
            "82235 0.40345391525974855 kind heart problems lead chronic belching\n",
            "82236 0.3749199493431261 im teenager slightly high cholesterol level\n",
            "82237 0.4433436452321566 able eat grapefruits taking diovanhtz blood pressure medicine\n",
            "82238 0.26656171853188854 difference 1shortness breath 2 breathlessness 3dyspnea\n",
            "82239 0.5437454628158792 advise im having triglyceride 548 cycle 7kms daily good necessarily walk instead cycling\n",
            "82240 0.2525060611940662 blood test dr determine ischaemic tissue septum heart\n",
            "82241 0.402536827600033 things heart failure\n",
            "82242 0.3586793860144872 books help pathophysiology hypertensive cardiovascular disease opened books index\n",
            "82243 0.36756798792556944 im 20 year old girl feel heart beating night lying chest pains heavy backpack\n",
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            "82245 0.39665549290570773 im diabetic 9 years ago heart reshocked everysince having fluttering sharp pains\n",
            "82246 0.2785513246305229 able drink alcohol niaspan niacin\n",
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            "82248 0.28018044476311005 procedure eliminate infection leg blood vessel graft following heart bypass\n",
            "82249 0.34818355395082556 advise im taking 25mg coreg carvedilol 2xdaily morning night 10mg lisinopril lunch time dr increased\n",
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            "82251 0.2870306856564915 cholesterol\n",
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            "82253 0.3428273640988903 advise heart structure functions\n",
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            "82255 0.38632246192206254 cardiac diseases conditions caused anemia long anemia affect heart\n",
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            "82258 0.4175935490213888 causes 5 second stabbing pain entire left breast leaning forward felt squeezed pcp says heart ok fear cardiac\n",
            "82259 0.34211492682715244 health question 60 mg pravacol cholesterol stent heart doc wants 80 mg\n",
            "82260 0.23272482795530713 signs unstable angina attack\n",
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            "82262 0.421268710517763 went camping day mussels n joints hurt plus headache n chest pain helping help\n",
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            "82268 0.3596061102699658 advise heart races drinking alcohol\n",
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            "82271 0.17991815865724972 discovered today preeclampsia\n",
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            "82296 0.4352812256062815 advise heart problem expert advice needed\n",
            "82297 0.5162427715796307 taking simvastatin years wanted know long term affects concerned\n",
            "82298 0.29559453840179634 shortness breath fatigue chest pain right middle 2 mg ativan lorazepam makes away hour itheart anxiety\n",
            "82299 0.4720754585752387 advise im getting greenfield filter monday long expect stay hosp observation\n",
            "82300 0.43716876896432666 causes 5 sec feeling band chest heavy pressure tight awareness uncomfortableness pcp says heart ok fear cardiac\n",
            "82301 0.37507439081691835 cholesterol high expanded cholesterol test regular\n",
            "82302 0.18633294695358957 signs deep vein thrombosis\n",
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            "82310 0.18703677317150796 heart pain quetiapine\n",
            "82311 0.3035041819843855 numbers considered healthly normal cardiac output cardiac index 7 5 ci 3 9 normal thanks\n",
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            "82325 0.3643522895857667 recommend heart cath today dr said need heart valve replacement heart valve\n",
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            "82327 0.42253099749402 causes 10 second feeling fullness like ballon inflating left breast chest pain pcp says heart ok gas seek cardiologist\n",
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            "82330 0.34713983918458324 dad needs heart lungs transplant negativesmiley\n",
            "82331 0.3559913676677553 wrong rib xrays nothings broke scoliosis left rib sticks upward left pops chest pain\n",
            "82332 0.4595606009493507 advise im looking book cardiac catheterization pressure curves help thank\n",
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            "82334 0.3628623195387954 heart hurt bend\n",
            "82335 0.4075194325512962 good cardiothoracic surgery books\n",
            "82336 0.5486318193186951 time swallow food drinks chest hurts real bad\n",
            "82337 0.30410991253346586 advise heart attacks exercising\n",
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            "82339 0.24813913345611957 fibromuscular dysplasia try docs\n",
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            "82345 0.4175606980491475 happens robotic surgery patients blood pressure goes high drops low\n",
            "82346 0.19659013423634952 cause tightness center chest shortness breath n pain leggroinlung ct revealed residual thymic hyperplasia\n",
            "82347 0.34457740107184676 local advanced cardiac life support acls classes\n",
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            "82349 0.4141771965117861 reevaluate bp medicine usually 15280 check recheck 13580 send home shouldnt change bp med\n",
            "82350 0.25345349693932795 m having procedure sp renal bilateral w aortogram\n",
            "82351 0.43585963397501215 heart problems help hearts jumping\n",
            "82352 0.1149442908201115 caude omega 3 difficency\n",
            "82353 0.3965273340828505 able donate blood heart disease\n",
            "82354 0.38706412127347645 causes second vibrating sensation right chest ther symptoms slightly congested fear cardiac pcp says heart ok\n",
            "82355 0.5178678048911596 advise want drop 30 pounds lower cholesterol help\n",
            "82356 0.20834982134382346 symptoms verapamil overdose immediately apparent presentation er\n",
            "82357 0.18642691411212145 diagnosis fever 17 day symptoms crp ve esr 2256 wbcs 3500 neutrophl 1000 lymphocytosis ldh 468 thrombocytopenia\n",
            "82358 0.24735144744912038 ive ready 500mg niacin tablets peoe 14 days\n",
            "82359 0.3753479017153112 cause 5 second burning prickling sensation chest pcp says heart ok fear cardiac issues anxiety gas muscle\n",
            "82360 0.3395182673037795 heart skipped beat playing basketball\n",
            "82361 0.4073458894251227 money spend college going cardiothoracic surgeon\n",
            "82362 0.17747549738105328 im 35yrs known hypertansive 2002 caronary angiogram\n",
            "82363 0.3041951830979566 number heart attacks caused high blood pressure\n",
            "82364 0.49645510332996046 couple pullups didnt feel tired heart started pounding hard fast\n",
            "82365 0.34593552817311124 trouble breathing standing\n",
            "82366 0.41524322005446546 cause chronic dizzynes visible earblockagenormal bpnormal cbcnormal thyroid balance problems fatiguebrainfog 21yo\n",
            "82367 0.28805973377210375 recommend vasculera surgery cvi\n",
            "82368 0.2959556573446118 pain left heart breast area\n",
            "82369 0.2850488227668363 signs look myocarditis\n",
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            "82372 0.38148555084004404 severe possible heart burn\n",
            "82373 0.3657872136594463 kind exercising prevents heart attacks\n",
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            "82377 0.3231263093356985 advise heart problem chest muscle acid reflux anxiety\n",
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            "82383 0.40222912872608463 trouble breathing avid reflux chance theyre connected\n",
            "82384 0.35641588057450824 causes 1 short 5 second electric feeling zap breasts radiating abdomen breasts pcp says heart ok nerve heart\n",
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            "82391 0.45868057388472744 causes 5 second squeezing pain directly breasts symptoms worry cardiac issue pcp says heartis ok seek cardiologist\n",
            "82392 0.3855718828889212 woken sleep feeling like blood running feet body checked blood preasure 15095 pulse 95 usual bp is11575 cause\n",
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            "82655 0.45874711299227783 went second opinion today cardiologist said heart murmer im 27 ok echo normal leaky valves\n",
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            "82666 0.41939148718883906 ur arteries constrict u 10 pushups super hard u blood pressure high instant rigtht\n",
            "82667 0.3811563144905293 heart problem wish undergo surgery necessary eecp alternate surgery\n",
            "82668 0.2647036855761345 turmeric beneficial blood\n",
            "82669 0.3854393673590443 suggest child 15 went doctor bp 14056 ok\n",
            "82670 0.47192413453604687 suggest dad law hearttransplant years ago im wondering safe ferret\n",
            "82671 0.36442600994676116 weird feeling slight pain chest abdominal throat watermelon ate 3 big slices happened feel likevomiting\n",
            "82672 0.2717150092881438 effect percutaneous mitral vavuloplasty pregnant mother foetus tertiary care hospital experience\n",
            "82673 0.2700816466324386 happens abdominal aorta ruptured tell\n",
            "82674 0.3890563946947395 ihave chest pain resting certain way b4 apparently pulled muscle hapenin\n",
            "82675 0.4966655990536394 suggest heart hurts steadily breathe going die\n",
            "82676 0.3364912330019774 mean moms blocked carotid artery starting act different\n",
            "82677 0.36556120243574886 suggest friend low blood pressure\n",
            "82678 0.43072892204254704 suggest heart pounding hard\n",
            "82679 0.5136363698610105 happens person 40 chance surviving heart pass surgery bad\n",
            "82680 0.2772965998376939 having chest pain left pain dizziness blurry vision heavy nose bleed headaches nausea\n",
            "82681 0.4475253377545053 happens congestive heart failure takes medicine long live\n",
            "82682 0.42245348381445746 happens woman hbp meds wants pregnant safe hbp meds\n",
            "82683 0.4430268425870143 suggest hdl high good ldl bad 18 points high significant grand sceme\n",
            "82684 0.4609039789242575 happens icu persons heart beat going low person heart beat high\n",
            "82685 0.36739295904739416 normal angiogram puncture look like bit swelling bruising tenderness\n",
            "82686 0.4420680872241834 suggest heart beats fast like stopping\n",
            "82687 0.13266436545737034 lactulose 30ml interact medication clonazepam inderal propranolol remeron omperazole\n",
            "82688 0.18015499170786956 suggest mom diagnosed 9mm cerebral berry aneurysm\n",
            "82689 0.31470687735667924 cause fluid retention 1 leg\n",
            "82690 0.14808274367858387 belgium lozartan available use lisinopril 20 mg\n",
            "82691 0.34925798236781275 suggest father died liver cirrosis heart surgery knew problems liver\n",
            "82692 0.3699668324613948 took blood pressure pill accident im scared help took 6 hours ago took accidently\n",
            "82693 0.3800806746121287 happens someones carotid artery got nicked lose eyesight andor paralyzed\n",
            "82694 0.32344647725018744 im hearing heartbeat sounds ears\n",
            "82695 0.5166593366488158 suggest 18 yrs old healthy experiencing heart breathing complications help need advice thank\n",
            "82696 0.16815427435462985 suggest doctor prescribed deralin neurally mediated hypotension nmh\n",
            "82697 0.3968369206223995 advise heart sends short electric shock body\n",
            "82698 0.3025861824304897 cardiovascular endurance muscular strength\n",
            "82699 0.3759910811580469 suggest husband triglyceride level 370 age 31 reason control vegetarian\n",
            "82700 0.38141417186669613 18 bad fish oil\n",
            "82701 0.17448474727476962 angle thoracic curvature spine lead breathlessness\n",
            "82702 0.27858879330737163 given proscribed medicine vastarel 35mg\n",
            "82703 0.31068614752332435 heartbeat uneven painful\n",
            "82704 0.5181869937663559 17 blood pressure high doctors said dont 90 play football\n",
            "82705 0.2658261823127865 infection bypass surgery\n",
            "82706 0.5623584869933628 suggest allergies right dont think thats problem chest feels tight try breath breath\n",
            "82707 0.2961681137429212 causes bowel movements sleep vertigo loss balance fatigue exhaustion shortness breath migraines diarrhea shooting pain neck\n",
            "82708 0.3769341547793119 reading blood pressure dr tend worry systolic diastolic know important\n",
            "82709 0.2135944139113188 mean blood clot brain incubated stroke\n",
            "82710 0.2648983687509064 normal blood pressure male aged 62\n",
            "82711 0.38493224887477856 high blood pressure maintenance advice\n",
            "82712 0.4543819049597569 suggest heart feels funny stress related\n",
            "82713 0.3708885599747321 pcos past dvt eligible hormonal treatments help conceive\n",
            "82714 0.21693286500786998 suggest sister hemorrhagic stroke questions\n",
            "82715 0.43754494835631574 happens young heart heath issues overdose nitroglycerin\n",
            "82716 0.34561452736480286 leadingmain cause heart disease u s\n",
            "82717 0.18685015353007353 wellbutrin bupropion xl 150mg propranolol sr 60mg ok\n",
            "82718 0.4799375403568636 advise heart pounding skipping taking life help\n",
            "82719 0.46924631909361275 went er heart feels like stops big thud goes normal happens day tests normal\n",
            "82720 0.36631893956123784 suggest sis having laser heart surgery dangerous\n",
            "82721 0.4091958965463724 happens heart bit rate increasesdecreases performance level increasesdecreases\n",
            "82722 0.4328210407820447 happens u smoked heavily long time lead emphysema\n",
            "82723 0.3109147091977605 atenolol cause heart beat head\n",
            "82724 0.2804825093592061 im 31 aneurysm aorta im scared info share\n",
            "82725 0.3829559621952271 laying sun long medication feel confused little blurry vision clonazepam inderal propranolol remeron laying sun\n",
            "82726 0.40411678833823866 u train extremely hard ur arterie constrict bigger thinking aorta carotid arteries pushups example\n",
            "82727 0.23527776901437325 r stressors makes arteries constrict constrict training aorta carotid arteries constrict\n",
            "82728 0.23803068686725423 suggest mother coma stroke possible aneurysm moyamoya\n",
            "82729 0.4091428282452189 advise chest feels tight breath\n",
            "82730 0.23868367678505806 causesremedies high bp young age\n",
            "82731 0.5393175583722115 suggest dad advanced heart disease long think left live\n",
            "82732 0.40155401790742623 advise heart echo results help understand results\n",
            "82733 0.2251894979003581 wellbutrin 150mg sertraline 50mg lisinopril 20mg atenolol 25mg nexium esomeprazole 40 mg internal med doc said helping high doses\n",
            "82734 0.2121442042556663 symptoms lymphoma affects thymus gland chest pain symptom lymphoma\n",
            "82735 0.2946942048406705 right caroitd artery brain aneurysm coiled year ago wonder pain right base skull connected\n",
            "82736 0.5000657435195136 chances person suffering diabetes high blood pressure loosing sight forever advice assist improvement\n",
            "82737 0.47365779156964466 suggest mother ischemia want know best medical treatment reversible\n",
            "82738 0.2603915688903765 suggest dad 75 years old bp reading 2weeks 14020 13010 mm hg cause\n",
            "82739 0.2737110597438129 rib pain ibs right left pain\n",
            "82740 0.28809648545300853 effect leucocyte 17800 blood 65 year male allready suffering low bp suger backpain kneepain gastric enlarged prostate\n",
            "82741 0.36023506292624907 happens 18 open heart surgery tattoo\n",
            "82742 0.27136056295471206 suggest son diagnosed heart murmur turned 3 thought murmurs diagnosed birth\n",
            "82743 0.5812143968145955 chances 22yr old females heart stop bad health aniexty worried heart\n",
            "82744 0.25908690821123387 suggest doctor ranexa ranolazine wtat\n",
            "82745 0.38227394476285503 having dizzyness fluctuating heartbeat pressure\n",
            "82746 0.356977841685392 sleep wake morning chest pain echo mri cardiac stress test ecgs related\n",
            "82747 0.33382949868041956 suggest ribs touching heart answers\n",
            "82748 0.2895894509076141 white portion egg reduce fat\n",
            "82749 0.3887178690501202 best ways treat anxiety induced white coat hypertension blood pressure pills anxiety meds therapy\n",
            "82750 0.2832038143198201 blood pressue pill norvasc amlodipine5 miligrams daily\n",
            "82751 0.3719602356348961 suggest heart beating fast\n",
            "82752 0.4435948964237318 high cholesterol getting thinner weaker day day\n",
            "82753 0.49527949378238956 happens im having trouble breathing mold huge deal\n",
            "82754 0.2824082263912887 possible causes pad 35 y o w prehtn mild ed sx abi penile doppler borderline cardiologist look\n",
            "82755 0.42557692928586177 suggest father aortic dissection wanted know typically long people live\n",
            "82756 0.3387837479747823 suggest husband 41 yrs sr triglycerides 210 vldl 42 signs reading n 2 deal abou\n",
            "82757 0.3758123737065385 suggest heart randomly starts racing reason\n",
            "82758 0.356603415723435 vitamins supplements help chronic cluster headaches safe verapamil combination melatonin vitamin b dose long\n",
            "82759 0.3793287677753457 happens diagnosed mild heart condition possibly disqualified army\n",
            "82760 0.3801048074310915 safe medication hypertension breastfeeding mother\n",
            "82761 0.3928332971832115 catapres clonidine heavy sweating im starting drink green tea help weightloss green tea stop catapres clonidine working\n",
            "82762 0.3604165651654618 inflamed ribs bad chest pain help\n",
            "82763 0.45120621962578644 im standing hr highter sitting blood pressure lower whats wrong\n",
            "82764 0.21355385933107238 25mg zoloft sertraline hurt baby took week conception 10mg propranolol\n",
            "82765 0.40090337884341637 suggest father poor diet having stent heart\n",
            "82766 0.29718895579210175 2 weeks having heart palpitutions dizzyness\n",
            "82767 0.15139887097948992 leads retinal vasculitis\n",
            "82768 0.5490879947123078 good help raise blood pressure norma 9negativesmiley59\n",
            "82769 0.34460041198884733 left arm blood pressure low 8050 right arm 12180\n",
            "82770 0.32985549773509243 happens normal heart sounds represented lubbdupp lubbdupp heart sound represented lubbduppshhh represent\n",
            "82771 0.34104672637663147 suggest chest hurts bike crash\n",
            "82772 0.3915019970001659 suggest mother having high readings bp lately maintenance drugs 20 years\n",
            "82773 0.3765351712191062 happens thallium scan normal blood flow necessary echocardiography rule heart disease hypertensive patient\n",
            "82774 0.32014373718719114 suggest father takes sutent sunitinib stage 4 kidney cancer congestive heart failure meds\n",
            "82775 0.36229908580286246 suggest dad enlarged heart age 69 dos donts\n",
            "82776 0.4194583265791111 worried multiple orgasms damaging heart masturbated 10 times yesterday feeling ill today\n",
            "82777 0.2930322841210118 happens someones carotid artery compressed long die\n",
            "82778 0.4831896639728225 doctor tell listening heart chances 22yr old female heart problems\n",
            "82779 0.2627655657451421 suggest cpk levels abnormally\n",
            "82780 0.39459696716589726 happens hole heart wil happen\n",
            "82781 0.2971417157433979 conditions cause chest wall ribcage pain upper neck pain comes goes\n",
            "82782 0.35332212934731816 chance 22yo females heart stop beating\n",
            "82783 0.3881144558069861 happens use nitroquick nitroglycerin cause heart problems\n",
            "82784 0.3288890933275477 suggest inr rate 1 4 supposed 23 need warfarin\n",
            "82785 0.2921100456689523 suggest inr level today 6 8 dangerous\n",
            "82786 0.3971317258020851 happens sgpt increased 89 need continue plendil felodipine 5mg lower\n",
            "82787 0.3351893965637555 perfect level ldl body\n",
            "82788 0.3777111990518761 sharp pain arm pit left brest bone open heart surgery help\n",
            "82789 0.5230274874163131 doctor tell listening heart tell sort heart disease\n",
            "82790 0.30311869411382075 suggest mom diagnosed bullous emphysema general doctor specialist\n",
            "82791 0.18135248060278847 suggest husband 3l oxygen pulmonary fibrosis sats 9094\n",
            "82792 0.4326211858479514 happens lungs heart fluid able recover completely\n",
            "82793 0.49682223761138694 thoughts palio diet increase meats affect ldls risk chd long term\n",
            "82794 0.27050119807424056 suggest mom dagnised emphysema\n",
            "82795 0.27899218005340787 total cholesterol 215 high hdl ldl triglyceride normal\n",
            "82796 0.16493624484536007 chest pain vomiting\n",
            "82797 0.35498082796126795 suggest ldl 167 cholesterol 247 statis causes muscle wasting\n",
            "82798 0.4210431266614876 17 guy thats blood pressure high\n",
            "82799 0.37668820794086905 happens heart moves place die\n",
            "82800 0.2726164707323042 happens cardiologist told carotid arteries blocked\n",
            "82801 0.40907441983112375 suggest mom aortic valve replacement surgery shes afraid gets stressed blow\n",
            "82802 0.3567492844460542 suggest grandma hospital having chest pains\n",
            "82803 0.41179889545328086 heart flutter trying sleep bend heart tests normal anxiety flutters everyday\n",
            "82804 0.21573795684299557 suggest son chest xray results says small aortic arch aortic knuckle\n",
            "82805 0.3867859439814619 bulimic ive noticed dizziness bad days mean heart affected\n",
            "82806 0.1326409971138906 im taking atenolol50 mg amlodipine 5mg ramipril 2 5mg andchlorthalidone12 5mgis ok high bp\n",
            "82807 0.455989572047939 suggest chest hurts breathe help\n",
            "82808 0.4779835056315848 happens feel heart areas like stabbedsharp pain heart disease\n",
            "82809 0.44195709433298414 happens elderly andor disability hampered movement heart condition\n",
            "82810 0.4674125050176573 suggest doctor told cholesterol 350 dangerous\n",
            "82811 0.23462702283392464 warfarin long term treatment deep venous thrombosis heparin\n",
            "82812 0.3542762289835274 suggest ribs hurt touch\n",
            "82813 0.30341395581722813 suggest mom mitral valve prolapse kind cold medicine\n",
            "82814 0.43386470261746124 suggest mother having heart surgery moment anxious\n",
            "82815 0.3000685152049495 happens ranexa ranolazine kill\n",
            "82816 0.28363571304427837 happens 10 units blood bleeding aneurysm concerned\n",
            "82817 0.40282546220391413 drug high cholesterol help tendon pain high cholesterol causes\n",
            "82818 0.3863730593891204 suggest husband gout helphe eat basicly getting swollen feet ankles fingers\n",
            "82819 0.4736201037129697 suggest mother blood pressure dad sadly diabetes think type\n",
            "82820 0.29955301486849956 drinking alcohol bring pain portal vein thrombosis\n",
            "82821 0.2378587281118546 causes sharp upper abdomen pain history portal vein thrombosis inflamed bowel\n",
            "82822 0.22950889705036615 suggest dr 3 mg clonidine 50mg trazadone sleep affects\n",
            "82823 0.28870939431372805 taking 320 mgs aspirin 4 hours prior prior test affect results d dimer suspected dvt\n",
            "82824 0.3016823507933679 suggest professor uses phrase lipid metabolism mean\n",
            "82825 0.4946817613547446 suggest cholesterol pretty high doc prescribed fenofibrate good diet follow\n",
            "82826 0.31684001082143304 happens emphysema use nicotine inhalers damage lungs\n",
            "82827 0.31076906324579595 suggest child hlhs final surgery fontan procedure mild leaking tricuspid valve\n",
            "82828 0.2538039003655544 suggest grandson diagnosed ebsteins anomaly dangerous\n",
            "82829 0.4668009281101516 suggest heart feels weird taking blood pressure medicine\n",
            "82830 0.39544091885674126 suggest friend 1 month old son passed becuse heart problem\n",
            "82831 0.5045571689594932 17 years old anxiety bad worry heart dying reason heart bothers\n",
            "82832 0.5270564803455333 heart strong slow beat startled whats deal\n",
            "82833 0.35724678380062574 happens hypertension control guaranteed stroke\n",
            "82834 0.37992717161499534 suggest father minor stroke doctors notes mean\n",
            "82835 0.20479928083524057 lisinopril cause lethargy\n",
            "82836 0.36730978169375195 suggest husband bleeding bowels low blood pressure fatige tired pale w\n",
            "82837 0.2545291666243056 happens cardiac output increases decreases\n",
            "82838 0.5096800820615087 suggest chest hurts hard breath help\n",
            "82839 0.2103536645717638 suggest father late 4th stage emphizima late 3rd early 4th stage adenocarcinoma small cell lung cancer\n",
            "82840 0.21064934740680524 happens blood clot leg vein cause stroke artery\n",
            "82841 0.1100588302639562 suggest dr prescribed 50 mg losartan 25 mg hctz hydrochlorothiazide normal\n",
            "82842 0.33173958381359625 person heart biting fast feet capillaries explosed feet uper swelled face colour yellow means\n",
            "82843 0.38910553260904857 suggest chest hurts swallow\n",
            "82844 0.4410446515803128 comfortably sitting amidst nice discussion fainted lost consciousness seconds regaining checked bp sugar ok\n",
            "82845 0.35654186672300975 suggest chest hurts inhale deeply\n",
            "82846 0.4275835898709808 suggest mother 75 years old taking bp tablets eye drops today telling help\n",
            "82847 0.2438227389317092 taking 1mg klonopin 25mg zoloft sertraline 50mg inderol blood pressure ok 1 12oz beer\n",
            "82848 0.21907658739553393 suggest husband c o p d emphysema advanced\n",
            "82849 0.49460637703487415 water pill know need\n",
            "82850 0.21519748545678002 recommend angioplasty years ago stent coronary arteries takes lipitor atorvastatin 20 day\n",
            "82851 0.3973972802181374 important bp med time day taking times cause readings\n",
            "82852 0.33887910177812336 18 years old female blood pressure 102 70 pulse 77 normal age\n",
            "82853 0.46429011253906854 happens stops taking high blood pressure medicine 3 days happen\n",
            "82854 0.377469285874518 happens apply nitroglycerin patch positive results minutes short\n",
            "82855 0.30697157322172725 happens letf vetebral artery smoke chances stroke\n",
            "82856 0.38211885478608176 suggest left lat muscle cut heart surgery 17 days old\n",
            "82857 0.22278403340029876 cough emphyzema\n",
            "82858 0.42141974170314117 suggest cholesterol 204 high im 36 years old im female lower cholesterol\n",
            "82859 0.34580971962299073 outcomes expected lipid profile provide 20 calories fat 60 carbohydrate\n",
            "82860 0.5048789072002203 heart tommorrw want know iv like\n",
            "82861 0.37167381461685944 happens high blood pressure 8556\n",
            "82862 0.22032432005205727 increasing left atrial pressure effect pulmonary circulation\n",
            "82863 0.19145529582493223 suggest mom suffering 100 stenosis s s2 racepinephrine left anterior descending heart d1 showing 4050 st\n",
            "82864 0.3033471653708812 wt 210 ht 5ft smoker bp stress test 13090 went high 190110 reached level 5 test terminated fatigue normal\n",
            "82865 0.30737730821123066 time aid heart burns scalds\n",
            "82866 0.3343682261645921 suggest heartbeat irregular count symptoms caffeine od\n",
            "82867 0.20165567197273898 heart condition ablation af performed\n",
            "82868 0.3587520759746501 best time bp reading worst time\n",
            "82869 0.3412425465401318 losing water weight slimmer lost 8 lbs taking chlorthalidone 10 days\n",
            "82870 0.10962375901570923 use plavix clopidogrel plavix clopidogrel\n",
            "82871 0.2086816689178214 suggest cerabal aneurysm coiled success percentage having coiled\n",
            "82872 0.2573975483760704 happens mitral valve prolapse dizzy spells vertigo lay\n",
            "82873 0.2490914031937315 indigestion chest pain mild breathing discomfort\n",
            "82874 0.4039709722267216 post open heart surgery patients strict io daily weights\n",
            "82875 0.27397860705640475 happens man cardiac reserve 400 maximum cardiac output 20 lmin resting cardiac output\n",
            "82876 0.35101444034877893 patients marfan syndrome feel pain chest normal complain pain moves upward shoulder\n",
            "82877 0.41571682710136526 arm hurt taking bp felt kind numb think cuff tight arm red reason\n",
            "82878 0.23164302562226446 happens mvpmitral valve prolapse antibiotic surgical procedure bacteria reaches heart mitral valve\n",
            "82879 0.49630740823001307 happens heart patient troponic test good need echo doppler test\n",
            "82880 0.17508764186049697 mean aortic dysplastic probably 2 cusps\n",
            "82881 0.2237087572093961 suggest dr prescribed candesartan hctz wellbutrin bupropion took pills 4 half hours ago\n",
            "82882 0.4299757381873136 best natural treatment mid sept emphysema rs heart failure dont oxygen bronchodilators doc refused saying wont work\n",
            "82883 0.22023550759362748 suggest dad lateral wall ischemia icu\n",
            "82884 0.2005718337011184 symptoms symptomatic myocardial bridge cause\n",
            "82885 0.19591883734659163 test reliable coronary fistula echo ct scan angiography catheterism thanks\n",
            "82886 0.3576665989306199 causes 15 second throbbing sensation small area chest center left breast fear cardiac pcp says heart ok\n",
            "82887 0.18539607724927384 effects gardasil contraindications gerd average 1208013090 bp\n",
            "82888 0.29442541351819546 cause pain left sholder blade heart\n",
            "82889 0.3140487047580732 cause pain lower shoulder blade area heart\n",
            "82890 0.22586139875296407 serum calcium ace levels increased sarcoidosis\n",
            "82891 0.3398671519841005 case ascites difficult breathe\n",
            "82892 0.32398114077144535 walk severe pain chest short breath bp 190140 10 minutes later bp drop 13095 wanted faint 58 years left ventricel hypertroph\n",
            "82893 0.24136979379641915 tests accurate diagnosis myocarditis pericarditis\n",
            "82894 0.42163410496599857 obgyn treat chronic headaches pregnancy high blood pressure isnt issue\n",
            "82895 0.4013837053821132 suggest left ear ringing left eye bit hypertropia condition stroke\n",
            "82896 0.45994186988637936 life expentancy heart working 23 possible cure world plz explain\n",
            "82897 0.24239227954855577 cause low triglyceride levels low thyrotropin levels triglyceride level 42 thyrotropin level 1 04 results 4 5 14\n",
            "82898 0.37419512642525776 wake having urinate 34 hours profusely sweating heart beating rapidly anxiety eyes lips severely dry\n",
            "82899 0.4381314742536751 pcos obgyn rei right specialist doc said going endo anymore\n",
            "82900 0.22677536026466097 symptom dvt blood clits leg\n",
            "82901 0.27112126951639226 possible effects drinking caffeine fluoxetine 20mg\n",
            "82902 0.30055936798843585 possibilities wrong severe rib chest pains pain lower abdomen\n",
            "82903 0.2881724858211323 wbc 8 1 esr 33 fever white sputum loss voice breathless 3040 sec cough 3 weeks took antibiotic 4 days relief help\n",
            "82904 0.3385932692297758 physiology stress anxietystress causing daily jaw arm pain chest pain happen\n",
            "82905 0.3262698960256773 considered high blood pressure teens\n",
            "82906 0.41174922408424697 better med prednisone sarcoidosis lymph nodes 17mm cause diabetes hard control\n",
            "82907 0.2997048164231121 mri contrast dvt ive knee calf pain ddimer ultrasound came normal veins feetleg bulging\n",
            "82908 0.3775824999657212 feeling fatigue time body parts going numb isolated dextrocardia\n",
            "82909 0.37915943477121294 suggest heart beats fast late night wakes\n",
            "82910 0.296444040337411 suggest cardiologist said prolapsed mitro valve\n",
            "82911 0.33646587454176013 blood pressure high y hands feet swell\n",
            "82912 0.19692740621322546 mean mild reversible myocardial ischaemia involving basal segments inferior inferolateral walls\n",
            "82913 0.27809774653457653 tell marfan syndrome\n",
            "82914 0.43551137987877864 happens person heart right chest disease\n",
            "82915 0.447107648668058 blood infection spread heart long survive\n",
            "82916 0.3055453898166078 pain dvt localized widespread pain foot knee thigh 27 yo female risk factors travel\n",
            "82917 0.43991803532436524 im erection heart beats fast lose erection wake morning feel heart beats fast\n",
            "82918 0.26103222405051973 causes hypotension exercise exposure heat dehydration thyroid cardiac pulmonary endocrine bp normal\n",
            "82919 0.23543586541426503 took talwin pentazocine promethazine long\n",
            "82920 0.35040333208893165 iron level 70 tibc 345 iron sat 20 ferritin level 138 mean high blood pressure pcos\n",
            "82921 0.31354238573074517 having short breath n chest pain\n",
            "82922 0.26151553321244314 omega fatty acid content air popped popcorn omega 3 6\n",
            "82923 0.2518491778702889 omega 3 6 regular average vanilla ice cream\n",
            "82924 0.4557138898915827 watch diet high cholesterol foods cut\n",
            "82925 0.3022459733778034 normal blood pressure 27 yr old female\n",
            "82926 0.35209753197013877 link heart disease gum disease\n",
            "82927 0.4074224004910337 exercising 120bpm blood pressure 17175 bad\n",
            "82928 0.5724241846267151 happens heart disease like help answer questions greatly appreciate 1 disability\n",
            "82929 0.18486722707499026 mechanism testosterone raise bp\n",
            "82930 0.6021378659880243 drinking plenty water reduce water retention help abs antidiarrhea drugs cause water retention sick want better bod\n",
            "82931 0.23552611739775495 relieve lower anxiety working zoloft sertraline 50mg metformin 500mg\n",
            "82932 0.30537421906907136 test cpspshave extremely terible hedaches 2nd stroke hemorhagic\n",
            "82933 0.2810154003879006 expect obgyn rei appointment pelvic exam nervous negativesmiley\n",
            "82934 0.37849284411486567 medication treat low blood pressure\n",
            "82935 0.37927269631506316 told miscarriage heartbeat went followup 1 week later baby grew 1 week hcg rising growing dead baby\n",
            "82936 0.25934607301442564 eat low bp\n",
            "82937 0.27711793510144006 suggest grandma 2 massive strokes\n",
            "82938 0.38185990286664595 ones blood pressure high moment\n",
            "82939 0.28344986596597405 happens ws sebum lipid eyelashes tears totally evaporate\n",
            "82940 0.30667284511769144 difference dandruff ahd seborrheic dermatitis large flakes certain areas scalp especially edges\n",
            "82941 0.3175825935939942 heart skipping beat causing pain head\n",
            "82942 0.5354591831770321 good diet reduce high blood pressure\n",
            "82943 0.335919163714683 likely causes sudden eye ear pain severe sharp chest pain clammy short breath low bp higher pulse pain base skull\n",
            "82944 0.2024175791400961 kind diseasesconditions mid mri rt abd pain rt flank pain rt rib pain 8 months 3 abd cts liver cysts\n",
            "82945 0.16958345510584025 normal d dimer rule dvt pulmonary embolism\n",
            "82946 0.35803671504740536 age certain heart conditions inheredited heart conditions treated\n",
            "82947 0.4517338649462574 weird feelings lower stomach lay stomach feels painful directly middle short breath white discharge\n",
            "82948 0.42651477030824453 breathe feel asthma coming frequently didnt chest feels tight nose dry fills mucous\n",
            "82949 0.33277687497830954 issues involving altace\n",
            "82950 0.4110987801075745 cause sudden rapid heart race bad shaking vision blackens completely dizziness loss balance lasts 30s3 min blue\n",
            "82951 0.5058418410028884 800mg phytosterols 2g daily fish oil supplement considered good cholesterolcardiovasciular health risky\n",
            "82952 0.43262268544626054 constantly feel heart beating chest normal\n",
            "82953 0.365258065791182 diabetes bcos gall stones high level cholestrol causes gall stones form clear doubt pl\n",
            "82954 0.3910080979904127 medicines maintaining highblood pressure\n",
            "82955 0.2597868616490572 chest pain right shoulder\n",
            "82956 0.35388095038043804 normalize triglycerides im 31years old thanks\n",
            "82957 0.3181504345895936 causes low blood pressure\n",
            "82958 0.31469801886224985 causes fatigue night sweats chest pain red painful wrinkled toes vitamin d deficiency leukocytes urine\n",
            "82959 0.3359783549172879 causes ache right breast near sternum pcp says heart ok pain intermittent lasts seconds neck pain\n",
            "82960 0.3845958749803288 increasing potassium levels help lower cholesterol\n",
            "82961 0.24499058501727114 lipid lft tests 30 days results\n",
            "82962 0.3452103578384718 cause drooling sleeping having heart problems uising bisobel\n",
            "82963 0.5146021248261978 mean little kid having hard time breathing\n",
            "82964 0.49072330439158823 kids having hard time breathing\n",
            "82965 0.35617482106251874 chest hurt time workout\n",
            "82966 0.36863859279413674 happens lung function test fine shortness breath\n",
            "82967 0.38406155870437214 heart problems picked heart problems 23yo female\n",
            "82968 0.31733210871709056 sore throat led 247 slight shortness breath cleared 2 months gotten infection testcle\n",
            "82969 0.3843635166025793 im confused heart felt twice heart atack smoke\n",
            "82970 0.402338616193011 best equipment range 5000 inr losing body weight\n",
            "82971 0.34057777911184434 cause shortness breath 2 months started sore throat chest xray clear prednisone inhaler didnt help\n",
            "82972 0.29012831889147134 causes cracks heels prevent l heel cracked r heel smooth dvt thigh right legwhy\n",
            "82973 0.27593978307170364 suggest doctor prescribe talwin pentazocine nx\n",
            "82974 0.2801797164587867 type hypotension arteries vasodilated type medication effective bringing bp normal\n",
            "82975 0.1543437781745929 type medication effective treating hypotension arterial venous vasodilation cause hypotension\n",
            "82976 0.28272639084648443 woke 3 inch circle blood pillow 3 sheets 2 nd time heart paitent 2011 reconstructive valve surgery ottawa heart inst\n",
            "82977 0.3888029175416772 woke blood pillow 3 inch round heart surgery twice valve reconstruction scratches nose bleed im little worried\n",
            "82978 0.31010611557690804 bulleyes mark body lyme disease experiencing chest painsleep disturbances heart tests norm lyme carditis\n",
            "82979 0.3018525401539655 heart older documented age\n",
            "82980 0.4282201228132919 whats causes breathlessness eating deep breaths air feels like lungs air chest xray clear\n",
            "82981 0.33317409111389007 causes higher 30mmgh difference arm ankle blood pressure approx 1 333 ratio ankle higher\n",
            "82982 0.2931315412134718 took blood pressure arms legs ankle flashing heart flash leg readings arm 1s\n",
            "82983 0.5051356380862123 normal hypertention reading suposed 16793 week healthy\n",
            "82984 0.5008645718929959 kind heart issues happen high calcium levels\n",
            "82985 0.4344817761882495 determines stroke volume heartbeat stressed volume rise thats u high blood pressure right\n",
            "82986 0.24959650951929047 difference acitrom warfarin taking 2 5mg acitrom planning shift towa rfarin 2 5mg effect\n",
            "82987 0.3041979238947935 happens mother ischemic stroke immediately hurry aspenter\n",
            "82988 0.29892114623913646 cause high blood levels myoglobin damage skeletal muscle heart muscle\n",
            "82989 0.4708426641609923 advise heart felt like quivered twice beat fast minute\n",
            "82990 0.15526599351979972 daughter strokes\n",
            "82991 0.25711332227598355 ck level 2700 mean\n",
            "82992 0.4934930554195091 suggest heart keeps feeling weird like dropping sensation slow\n",
            "82993 0.2941375754522951 cardiac mris sensitive diagnosing showing\n",
            "82994 0.40206285846211987 actually sinking heart feeling\n",
            "82995 0.43850069858398405 cause falsepositive ecgs durin nuclear stress test possible inferior infarct age unknown echo b4 fine ecgs b4after fine worried\n",
            "82996 0.43764836874420254 deep breath tight feeling right chest concerned\n",
            "82997 0.4038830631095953 face gets puffy forget blood pressure meds\n",
            "82998 0.38725954417109254 cause excessive swelling feet heart disease diabetes triple bypass 10 yrs ago stints\n",
            "82999 0.30420191495591226 meds cyproheptadine isradipine structurally related\n",
            "83000 0.44185156338316206 heart burn 4 days middle night thought asit tried\n",
            "83001 0.3819900402276108 kind diet recommended low iron high blood pressure taking 4mg perindopril high\n",
            "83002 0.3401749490636817 causes feeling heaviness weakness arms sensation bicep area pcp said heart ok pressure jaws\n",
            "83003 0.3195488200033336 normal blood pressure range 26 yr old female\n",
            "83004 0.4775434315508725 talking feel short breath exercise plenty oxygen\n",
            "83005 0.42569892339485005 suggest feel heart beats intense happens\n",
            "83006 0.41394021859354313 past 3yrs having right chest pain cardiac ruled radiates neck ends bad headache fatigue\n",
            "83007 0.3599559762801385 causes second feeling pain numbness outside left arm bicep pcp says heart ok nerve anxiety\n",
            "83008 0.44145289659765435 suggest dad got stroke 8 months ago immune weak easily got fever barely\n",
            "83009 0.4068167984674609 work minor intermittent chest pain right right nipple pain comes goes 2030 seconds going hour\n",
            "83010 0.3833014748002702 went dr extreme fatigue chest pains dr sent panels bloodwork guess dr wasnt concerned chest pains\n",
            "83011 0.3864120855597176 cause dizziness head lowers bend pick usual low bp sit stand\n",
            "83012 0.23402055562695265 affect taking celebrex celecoxib 200 cipto 500 warfarin 10\n",
            "83013 0.37236530856328287 advise heart beats fast pain pain neck\n",
            "83014 0.28504611130710655 omega 3s beneficial combatting cellular inflammation ala dha epa\n",
            "83015 0.21526863007894217 names cardiac implant devices pfo asd\n",
            "83016 0.2654521286659336 happens lasix furosemide work severe edema legs\n",
            "83017 0.44611468746352323 smoking bad heart\n",
            "83018 0.26476760786627485 trying balance omega 3 omega 6 ala count epa dha\n",
            "83019 0.37023695299730447 trying balance omega 3 6 consuming ala count little gets converted\n",
            "83020 0.27329823587722457 disorders cause postprandial hypotension cardiac type pain cardiologist believes disorder autonomic nervous\n",
            "83021 0.3934013294220737 ways lower high blood pressure\n",
            "83022 0.2869155003661804 classed structurally normal heart\n",
            "83023 0.18858549452373577 nausea chest tightnesspain shortness breath pain\n",
            "83024 0.5276828070089152 went doctors treatment high blood pressure going 24 hour monitor treatment want controlled job\n",
            "83025 0.3983180653805232 causes puffy face suffering hypertension try sodium level moderate face increasingly puffy\n",
            "83026 0.18484408098587843 neck artery 8590 block surgery angioplasty procure artery 8590 blocked\n",
            "83027 0.2200534321665622 cause droopy facial features teenage girl half lip brow nostril cheek stroke\n",
            "83028 0.4392253393682759 cause occasi pressure feeling like knot ball food sternum area blood pressure fluctuate 9224 12084\n",
            "83029 0.5115079277933905 mean heartbeat normal rest starts beating stress exercise beats hard fast anxiety\n",
            "83030 0.5706153111616133 endocrine causes extremely hard kind fast heartbeat normal relaxed information greatly appreciated\n",
            "83031 0.3565542293267359 causes feel short breath leaning seat airways clear\n",
            "83032 0.3500270711708073 high blood pressure ruin kidneys\n",
            "83033 0.29830184394499304 missed miscarriage 6 weeks scan showed heartbeat\n",
            "83034 0.5068518325007351 taking clonazepam twice week months running cardiologist wont renew stopping ok given 2 help sleep cuz heart\n",
            "83035 0.3522423311391458 clots difficult body break blood thinners blood aids natural anticoagulation correct\n",
            "83036 0.4135582114743583 bad posture causing breathing problems\n",
            "83037 0.3667055480711747 lying hear heartbeat faster 6 weks 2 days normal\n",
            "83038 0.18312583891381123 cause atelectasis effusions 24 hours percutaneous liver biopsy lungs chest pain\n",
            "83039 0.17387528768528096 success rates ross procedures aortic valve suitable mitral valve\n",
            "83040 0.42259525168963247 1 bad night spike cholesterol levels\n",
            "83041 0.17944094196922314 primary hypoaldosteronism lead increased renin angiotensin ii secondary hypoaldosteroninim\n",
            "83042 0.32183746498773935 ideal blood pressure 0 risk strokes heart attacks 59 5 year old man weighs 189 pounds 5 11 5 inches tall\n",
            "83043 0.3342262841213621 suggest total cholestrol 200 hdl 40 ldl good a1c 6 2\n",
            "83044 0.502629365312766 best way snd time check blood pressure laying minutes\n",
            "83045 0.3203406697159186 heart pump faster taking hr rest 2 hours exercise hr 70\n",
            "83046 0.3364292344917228 know carotid artery dissection couple days facial tension pain headache numb tingly lips today age 28\n",
            "83047 0.5305694821032462 lie feel strong pulse toe big toe believe benign way stop\n",
            "83048 0.4080742325133335 suggest total cholesterol is112 hdl 58 ldl 42 8 trygly 56 vldl 11 2 need concerned cholesterol low\n",
            "83049 0.25478418992407775 beans heart burns\n",
            "83050 0.4769030786352857 want baby induced 36 weeks hospital 3 week hypertension hbp doctor gone ask 35w today\n",
            "83051 0.3083345077406918 vitamin hypothyroid cholesterol depression anxiety\n",
            "83052 0.4319326059259111 cuff tightens blood pressure reading chest felt little tight normal\n",
            "83053 0.3418467646077491 worded wrong facial tensionpressure 1side face chinear n somexs felt pain numb bp norm stress tia\n",
            "83054 0.3959672653234494 wife having blood pressure 85 56 rheumatoid arthritis patient low fatigued\n",
            "83055 0.30698989277945143 chest pain mitral valve prolapse feel like life threatening\n",
            "83056 0.3239924579697967 4 years old underwent open heart surgery close opening heart surgery successful months ago\n",
            "83057 0.06758996157447356 maythurner syndrome\n",
            "83058 0.3753562700325928 kind imaging look portal hypertension\n",
            "83059 0.19239114483742817 differences atherosclerosis thrombosis atheroma arteriosclerosis thrombosis embolism thank\n",
            "83060 0.3492022105611959 causes 5 second stabbing pain left chestbreast happened stood pcp says heart ok left shoulder blade pain\n",
            "83061 0.4335199319716439 wen dental work heart palpation lay anxiety\n",
            "83062 0.4110575543050619 went er dr xray said lungs clear kidneyliver fine short breath hgb 8 6 im short breath\n",
            "83063 0.4273409568679722 whats use bumex\n",
            "83064 0.3551644045303709 intercranial hypertension improve 3 months returned drastically worsening symptoms vertigo\n",
            "83065 0.4271681716671552 best dosage fish oil omega 3 supplement started taking wondering best dosage\n",
            "83066 0.3060480651959524 safe dose propranolol doesnt produce effects treat anxietymigrainenerve twitching\n",
            "83067 0.3317493481068801 10mg dose aventyl nortriptyline cardiac effects come warning reduced dose help\n",
            "83068 0.4009105376994495 shouldnt eat dairy food cholesterol\n",
            "83069 0.4897862492839573 causing sharp pain sternum feels like lots pressure hard breathe walking ton week got depoprovera shot\n",
            "83070 0.17395101018478656 abdominal chest pain\n",
            "83071 0.322164211136972 kind imaging studies diagnose portal hypertension\n",
            "83072 0.34308085751127415 whats diff hemiplegic migraine tia docs suspected agree im confused\n",
            "83073 0.3988650120684001 r symptoms cad mom chest pain fatigue problem makes electrical shock rehion heart looks like knife goes onit\n",
            "83074 0.22075816499043943 cause low serum creatine kinase level 26 iul\n",
            "83075 0.04262186523249375 metoclopramide contraindicated pheochromocytoma\n",
            "83076 0.4523983336231564 sleeping heart races 120 normally 57 67 waking staying goes bit\n",
            "83077 0.2150697391237227 normal bmi index\n",
            "83078 0.261907080189574 drs office bp spike 200shortness breath dizzy cause\n",
            "83079 0.45892086870179577 reason babys growth heartbeat want know miscarriages\n",
            "83080 0.28361251031776097 week old son hole heart\n",
            "83081 0.5803231899332861 contradictory studies nearly health topic study says omega 3 good says offers benefits whats\n",
            "83082 0.4170211777805468 chest hurt drinking alochol hard breath\n",
            "83083 0.18520706363620498 cum 30 seconds control 500 strokes\n",
            "83084 0.37278033115385745 causes sharp second stabbing pain center chest directly breasts pcp says heart fine shortly eating\n",
            "83085 0.4017583904551383 eat im anemic cholesterol hypothyroidism infection ear anxiety depression\n",
            "83086 0.3044602530703212 headaches stop drinking caffeine\n",
            "83087 0.2318800226982055 fetal heartbeat signs miscarriage\n",
            "83088 0.3584645801458784 sleep 1 pillow night wake dizzy vertigo entire head stings normal weight breathing problems\n",
            "83089 0.4078360673675463 healthy blood pressure 21 year old female 53 103lbs\n",
            "83090 0.4720132478419158 difficult vascular conditions brain somewhat controlled med eventually need surgery\n",
            "83091 0.455303047940705 experiencing bad heart burn week following bad hangover\n",
            "83092 0.3723514487566522 suggest rythmol propafenone convert nsr echo showed problems idea long fib\n",
            "83093 0.4265122426916084 cause chest cavity burn intense pain dont radiate areas difficulty breathing blood pressure normal idea\n",
            "83094 0.35904887683016945 causes feeling pressure sternum meets collarbone right center base neck pcp says heart ok\n",
            "83095 0.21036921017942467 chest pain unbearable\n",
            "83096 0.5416230696413192 stand feel pulse head kinda like wob wob wob sound hypertension medication dangerous sign\n",
            "83097 0.39961253825338433 whats difference primary endolymphatic hydrops secondary endolymphatic hydrops\n",
            "83098 0.3752532292656924 small ring fingers numb dose mean heart problem\n",
            "83099 0.2675060052842166 moderate hypertension suffer postural hypotension leading near near faints treatment suggest\n",
            "83100 0.39646108474521435 causes 30 second pinching pains lower left breast nipple close armpit fear cardiac pcp swears heart ok\n",
            "83101 0.2715561773587717 causes burning sensations xyphoid area chest bra underwire bra pcp says heart cardiac anxiety\n",
            "83102 0.18105664313007633 feeling nausea dizziness days symptoms hist pcos htn lisinopril10mg zoloft sertraline 50mg\n",
            "83103 0.28927857008820207 taking ibuprofen caffeinecoffee tea cola medication caffeine consumption beforeafter taking med\n",
            "83104 0.3268174260431869 onset chest pain dyspnea try rapid deap breaths things worse hyperventilation cause result\n",
            "83105 0.12702758027417577 mild physiological mitral tricuspid regurgitation\n",
            "83106 0.18866730956193753 right atrial enlargement help\n",
            "83107 0.25147470152033763 unstable angina contraindication stress test\n",
            "83108 0.506523215063163 exercise help change pectus excavatum yes know exercises sir\n",
            "83109 0.34121190626203374 pulsatile tinnitus intercranial hypertension change volume pitch daily weekly makes sound\n",
            "83110 0.042268908484570406 atheromatous aortic knob\n",
            "83111 0.4581428470582695 normal healthy standing blood pressure sitting laying 12080\n",
            "83112 0.2879401059233799 major heart bypass operation heart valve replacement plz\n",
            "83113 0.3599270871793712 drug resistant hypertension doctor said drug resort works\n",
            "83114 0.3738606713157183 went doctor fever ear ache prescribed amoxicillin 1 pill left stop coughing hard breathe\n",
            "83115 0.32227598740610436 swallow liquids feel chestbreasts ache 1 breasts shoulderblades esophagus gas pcp says heart\n",
            "83116 0.46164614341021665 absolute best blood pressure hear 12080 115 75 110 60\n",
            "83117 0.3055201988071675 unstable angina contra indicator stress test\n",
            "83118 0.3984903096839952 suitable diet person high blood pressure\n",
            "83119 0.3097358012627262 panic attack syndrome heart popping feeling\n",
            "83120 0.34329024343171965 emphysema progressing stop exposing lungs irritants tobacco smoke\n",
            "83121 0.32086350862432633 kind conditions cause constant fatigue muscle cramps excessive sweating body pain exertion chest pain shoulder pain\n",
            "83122 0.3389456041457752 percent dvt travel related surgery related genetic defect related spontanious\n",
            "83123 0.28045661506018205 causes high blood triglyseride blood triglyserride 555mgdm ln53 yr old man\n",
            "83124 0.5581748395180491 causes swollen feet 73 good health generally high blood pressure daily walks morning\n",
            "83125 0.4552596659247134 sex sleep feel day cheast pain calms drink water sleep ive gerd heart related gerd\n",
            "83126 0.4468231122767967 try fall asleep heart starts beat faster cause\n",
            "83127 0.3541867212577045 happened drinked 45 bottles beer meds high blood pressure\n",
            "83128 0.42793476506663786 causes dull burning pain xyphoid area right rib cage area pcp says heart ok\n",
            "83129 0.2164277976881988 pathogenesis ischaemic stroke affecting left cerebral hemisphere\n",
            "83130 0.5421703219210855 eat caloried food heart starts beating fast feel kinda tired means rare eating caloried foods\n",
            "83131 0.4349667833416992 causes 5 second pain chestbreasts lying felt like ache moving pcp says heart ok\n",
            "83132 0.3552006976617148 feel heartbeat stomach\n",
            "83133 0.28877240190737624 diagnosed mthfr mitochondrial disorder mean chf kidney disease copd\n",
            "83134 0.28877240190737624 diagnosed mthfr mitochondrial disorder mean chf kidney disease copd\n",
            "83135 0.4568940058191659 swallow feel coldgot liquids chestbreasts causes ache area trapped gas pcp says heart ok worried\n",
            "83136 0.29657789456816996 s ideal blood pressure 60years man\n",
            "83137 0.27038293757486825 cause chest pain sinusitis 2 mths took augmentin amoxicillin clavulanate 6days otrivin 5days taking veramyst 2sprays day 1mth thks\n",
            "83138 0.2724243123816499 causes severe hypertension episode 12 hours 200 person hypertension\n",
            "83139 0.29007066429691364 normal blood pressure\n",
            "83140 0.4631520009453778 woke middle night feeling like underwater skin felt cold smooth sweating heart problem immune problem\n",
            "83141 0.43046663004283575 upper body stomach upwards feelhear like air coming throatif like 30sec chest hurts\n",
            "83142 0.3577178317282398 difference preexercise resting heart rates\n",
            "83143 0.25102982709508465 causes heart structurally damaged\n",
            "83144 0.49263488362198427 went er 2 days ago chest lungs hurting like xray shows heart ok blood work ok hurts\n",
            "83145 0.34584429142003625 eating gram potassium chloride lower blood pressure eating gram salt raise certain ratio\n",
            "83146 0.17435982502717928 relation hypertension splenomegaly\n",
            "83147 0.38588124936151236 diagnose person strange sleep lunch 20 min sleep difficulty breathing\n",
            "83148 0.27999173803301686 effect double water loading diuretics\n",
            "83149 0.3382214706395319 causes 5 sec shooting pain chest center chest btw breasts left right chestbreast similar pains pcp says heart\n",
            "83150 0.4167400274879371 chest hurt breathe deeply cold im pregnant dangerous baby\n",
            "83151 0.32445530694672947 usually feel gerd symptoms acid reflux breathless week days period hormones\n",
            "83152 0.3524880451413822 normal blood pressure 32 year old female exercise\n",
            "83153 0.389067891255678 causes sharp 5 second pain center chest breasts straight right chestbreast feels electric pcp says heart\n",
            "83154 0.3615754640664884 effect olive leaf thyroid uisng candida feeling blood pressure lowered low\n",
            "83155 0.3124110915598918 autoimmune diseases cause raised alt ankle pain chest pain spine shoulder pain ana hla b27 positive\n",
            "83156 0.04739419930694393 prednisone alternative erythema induratum nodular vasculitis\n",
            "83157 0.38539142280528166 heart randomly start racing reason\n",
            "83158 0.33390969792814 went docs bad pain diagnosed having sprained trapezius muscle chest pain 8 hours feeling drowsy light heade\n",
            "83159 0.25467256040099684 pain chest smoking shisha\n",
            "83160 0.34673134745417833 causes short pinching pains chest left breast collarbone pcp says heart ok cardiac anxiety shoulder neck tension\n",
            "83161 0.34777073780613144 blue veins armshandschest suddenly visible heart checked year blood test weeks ago clear\n",
            "83162 0.3827816800513924 cause husband triglyceride level 370 age 31 control hes vegetarian\n",
            "83163 0.21789935172652458 effect coconut oil serum triglycerides\n",
            "83164 0.19116873793442252 problem beating abdominal aorta\n",
            "83165 0.21675673086427016 survival rate pulmonary embolism surgery\n",
            "83166 0.07641614593429669 pulmonary embolism hypocapnia hypoxia\n",
            "83167 0.2154273709379203 lipitor atorvastatin reduce libido\n",
            "83168 0.3804366951967708 doc cirlation bad\n",
            "83169 0.30570664738209646 causes short stabbing pain left breast near armpit dull pain ribs armpit bra line pcp says heart ok\n",
            "83170 0.3043279664360148 symptoms heart related diseaseangina\n",
            "83171 0.3548325328252749 causes stabbing pain right shoulder blade shoulder blades walking brisk pace pcp says heart ok\n",
            "83172 0.3428783487774515 heartchest hurt breathe\n",
            "83173 0.10896028158393456 arch aorta curved explanations\n",
            "83174 0.3030931247595431 disease hole heart\n",
            "83175 0.4726913277184323 somethings reverse hypertension im worried mother help\n",
            "83176 0.39275245426873795 happen pulse pressure reduced 20\n",
            "83177 0.4055685424215291 causes 10 second ache chest lying pain went directly breasts felt like muscle tear pcp says heart ok\n",
            "83178 0.3911008090414692 head going numb neck problems happening birth 1yr dizzy spells\n",
            "83179 0.3231288447493722 sleep heart anxiety\n",
            "83180 0.4125028343563839 problems water retention\n",
            "83181 0.4044851071894361 normal blood pressure 41 year old woman taking blood pressure medicine elevated safe\n",
            "83182 0.361791596514033 mean heart functioning 44\n",
            "83183 0.44922506867285705 fail sleep normal time fall asleep rest night start feeling heartbeats pounding laying\n",
            "83184 0.15168606596038184 patient aortic aneurysm htn 2 drugs\n",
            "83185 0.4761564224288291 blood pressure iss high like months coming reduce\n",
            "83186 0.14925848439452782 aorta rupture high bp damaged weekend\n",
            "83187 0.3350439101402582 1000mg nicotinic acid sufficient help manage triglycerides 218 hdl 19 diabetic male\n",
            "83188 0.17056730006247764 emphysema large bullae\n",
            "83189 0.29066560775995476 pressure pipe blood pressure relationship\n",
            "83190 0.3379307304541241 causes 5 second pain center chest breasts collarbone felt punched pcp says heart ok freaking\n",
            "83191 0.2863643976930318 causes 5 second pain center chest breastline collarbone felt punched pcp says heart cardiac\n",
            "83192 0.18339207044307923 transesophageal echocardiogram tee\n",
            "83193 0.34702796590902796 chances cardiac problems resulting ibuprofen use stroke runs family\n",
            "83194 0.13905809213319414 mean normal vascular flow voids present distal carotid vertebral arteries basilar artery proximal anterior\n",
            "83195 0.5240377638950992 movement increases blood circulation help medication effective days dont feel working days\n",
            "83196 0.41217784967485316 someones cholesterol level mean\n",
            "83197 0.3026889248019867 worrying angina day\n",
            "83198 0.3793857975770861 think lisinopril treatment high blood pressure\n",
            "83199 0.3114833959665897 chest pains period reduced middle time menstrual cycle hormone related\n",
            "83200 0.2130564815989734 cpk levels abnormal\n",
            "83201 0.36234162357727556 pectus excavatum mean mention doctor\n",
            "83202 0.2884078861135286 inderal propranolol 40mg twice day aniexty hypertension cause erection taking 2 years\n",
            "83203 0.34341084201429667 heart failure future\n",
            "83204 0.353010337615406 best bypass surgery angioplasty person 75 years78 blocks rca diag diabetic stroke 2 yr backnot fully recovered\n",
            "83205 0.536317147205652 pressure high low sure unfortunately mother blood pressure dad sadly diabetes think type\n",
            "83206 0.3639532399850847 recommend burning heart time\n",
            "83207 0.21403301291467214 esophagus comparison heart aorta heart closest beast bone\n",
            "83208 0.30978083377495524 weeks ago told asthmatic bronchitis took medrol methylprednisolone chest xrays normal im chest tightness inflammation\n",
            "83209 0.5551280707135222 advise heart strong slow beat startled whats deal\n",
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            "84670 0.16838736485875802 heart palpitations symptom myelofibrosis\n",
            "84671 0.46508110714773415 bad dental hygiene cause cardiomyopathy\n",
            "84672 0.2425897016515934 caffeine cause heart palpitations\n",
            "84673 0.31941326360008737 people pacemakers consume alcohol\n",
            "84674 0.36297829259941417 smoking marijuana bad effects left bundle branch block\n",
            "84675 0.16144263992736524 palpitations associated severe headaches\n",
            "84676 0.06955824598101497 atrial fibrillation cause ed\n",
            "84677 0.10773736688862837 bundle branch block fatal\n",
            "84678 0.2825029271289275 explain troponin levels increase cardiac damage\n",
            "84679 0.2560143315176743 person continue work warehouse job atrial fibrillation\n",
            "84680 0.2610872751227276 alcohol cause heart palpitations\n",
            "84681 0.2642274635402491 drink alcohol left bundle branch block\n",
            "84682 0.13755013936928032 myocardial perfusion scan pacemaker\n",
            "84683 0.08283842054773731 hypertrophic cardiomyopathy\n",
            "84684 0.11312138142602453 glycogen cardiomyopathy\n",
            "84685 0.18112658385175165 fly wpw\n",
            "84686 0.3005158461118608 explain cardiologist diagnoses patient wpw\n",
            "84687 0.23119637418751132 recycle pacemaker\n",
            "84688 0.1863763616418174 die elevated troponin levels\n",
            "84689 0.02138296099174433 ibs cause atrial fibrillation\n",
            "84690 0.115991596725768 penicillin flecainide\n",
            "84691 0.09223651734593685 atrial fibrillation life threatening\n",
            "84692 0.03692613048243301 atrial fibrillation psychosomatic\n",
            "84693 0.17819237647025715 cardiac ablation cause strokes patients\n",
            "84694 0.28315091913448437 treat right bundle branch block\n",
            "84695 0.5233875691246871 pacemaker individuals heart beating cardiac arrest answer question yes long continue assist heart beating help prevent brain damage medical help arrives\n",
            "84696 0.26121851524372874 having congestive heart failure pacemaker year atrial fib diltiazem increased 360 mg 240 mg days nights short breath wake short breath t\n",
            "84697 0.11783860485762962 folliculitis bring myocardial infarction\n",
            "84698 0.255475578363103 hydroxyurea raise pulse rate\n",
            "84699 0.326453536500181 tilt training help prevent vasovagal syncope\n",
            "84700 0.35343591447303374 people pacemakers shocked life aed\n",
            "84701 0.19704952423557193 pinched vagus nerve cause vasovagal syncope\n",
            "84702 0.24157874249421787 beta blockers chf patient\n",
            "84703 0.2967941195280053 bluetooth affect cardiac pacemaker\n",
            "84704 0.20099166075380212 beta blockers help pulmonary edema\n",
            "84705 0.2789065643130776 heart attack exercise\n",
            "84706 0.15929369688639805 aspirin cause bradycardia\n",
            "84707 0.19165279058271034 angiogram trigger heart attack\n",
            "84708 0.10206170653101901 svt ride roller coasters\n",
            "84709 0.22853796069173088 heart arrhythmia cause tia\n",
            "84710 0.2946177971313677 taking viagra sildenafil cause heart attack\n",
            "84711 0.2889595249480281 cpr restart stopped heart\n",
            "84712 0.3669299153036079 catch hivaids giving mouth mouth stranger heart attack\n",
            "84713 0.26980755314403243 alcohol bring episode svt\n",
            "84714 0.11706762380175116 mitral valve prolapse cause svt\n",
            "84715 0.3792021753705139 effect cardiac arrest affect thinking power\n",
            "84716 0.2557248707526303 shocked touching implanted internal defibrillator\n",
            "84717 0.33691028804499346 terrible pain pulled muscle chest lead heart attack\n",
            "84718 0.25234614758603396 internal bleeding lead heart attack\n",
            "84719 0.16745689675148331 lopressor metoprolol tartrate pregnancy control svt\n",
            "84720 0.19422241690447758 die svt\n",
            "84721 0.22195985902841564 leukemia cause cardiac arrest\n",
            "84722 0.14180018887222318 cayenne pepper trigger episode svt\n",
            "84723 0.2183543451207334 50 baby aspirin\n",
            "84724 0.2403397355712045 sharp pain left shoulder blade movementno pain breathingpain prev blood thinner 4 clot 1 month gall bladder 1 wk clot\n",
            "84725 0.1908893524772259 symptoms plurasy\n",
            "84726 0.3835171891552461 diagnosed mom pulmanru hypertension treating aggressively shes 67 lbs 3 week shouldnt concerning\n",
            "84727 0.24953323606810893 effects stern implanted descending artery heart\n",
            "84728 0.3360137900175815 right sided chest pain traveled left rib cage steady pain\n",
            "84729 0.19256664875295534 effects stent implanted heart artery\n",
            "84730 0.2983841312761255 swollen feet fluid cause\n",
            "84731 0.4996633359911674 911 feel like wrong heart\n",
            "84732 0.20732345402246666 swollen lymph node neck year\n",
            "84733 0.2918009085174315 sice yesterday feeling giddy\n",
            "84734 0.2764022862954058 symptoms diarhhea black stools fainting spells reason\n",
            "84735 0.19602128536362023 swollen lymph node armpit cause\n",
            "84736 0.19679786666278898 shortness breath dizzy\n",
            "84737 0.4707526209694355 sir having problem sugar feeling feel like fainting body feel like vomiting sweat comes\n",
            "84738 0.37367358943406553 severe diarrhea 10 days shaky n weak feeling dizzy\n",
            "84739 0.28116352772020187 sideeffects 6 yrs use plendil felodipine hypertension\n",
            "84740 0.2852237031112703 concerned chest xray said calcification lymph node\n",
            "84741 0.4030922573035879 reduce risk heart disease\n",
            "84742 0.4122290913263966 worried lymph node cum groin months ago doc said fine pop collar bone mean cancer infection\n",
            "84743 0.3286043268435505 swollen feet ankles carbohydrates retain body fluids\n",
            "84744 0.24750738802754982 swollen retro auricular lymph nodes noted 1st month baby 10th monthtwo\n",
            "84745 0.41875752235519287 swelling feet hands mean heart failure right\n",
            "84746 0.3336551674089283 scan tuesday showed 7w pregnant n showed heartbeat heavy bleeding clotting mc mc month ago got preg\n",
            "84747 0.2609409224407668 swelling lymph node right arm pit\n",
            "84748 0.3585880958062819 taking felodipine blood sugars control recent 17 5 iwas single figures connection opinion\n",
            "84749 0.42859631553554667 sudden numbness come weeks ii face neck arm moves 1 hardly use arm happens sick stomach 2 days stopped thought gone\n",
            "84750 0.36284657904275563 second line faint b seen symptoms pregnancy like nausea fatigue increase appetite pregnant\n",
            "84751 0.4025003904413224 slight headache 2 days today sudden chest congestion needing blow nose throat feels swallow cough tight chest hurts cough\n",
            "84752 0.26626541278678095 shortness breathe laughing\n",
            "84753 0.2297732774209763 daily aspirin\n",
            "84754 0.27772795608551276 mvp patient antibiotics prophylaxis lifetime\n",
            "84755 0.22077996802817934 mother blood thinner phlebitis\n",
            "84756 0.3448878540017633 stomach swelling pain fatigue upset stomach short breath utis frequently\n",
            "84757 0.2677811157050485 semi solid stools d mornings\n",
            "84758 0.3604212390219285 paramedics ask family dnr status treating called home unconscious 92 yo person\n",
            "84759 0.3892211132607749 childhood lipid profile bad tg 400 hdl 33 ldl 120 10mg zocor simvastatin need medicine 55 yr old\n",
            "84760 0.11846969980722392 scarring mitral valve endocarditis 2 strokes cjances 3rd\n",
            "84761 0.2731311510285302 sharp pains spine extream pain chest pulsating pain arm migraines 2 weeks leg gets pulsating pain\n",
            "84762 0.3463738324479843 left chest ache badly course\n",
            "84763 0.4215080965052949 felt pain right chest left sides normally happens\n",
            "84764 0.3369747266870137 sir father suffering brain tumour 4 months undergone bypass surgery advisable surgery age 70\n",
            "84765 0.2306947588168871 successfully ruled dvt painful lump calf knee\n",
            "84766 0.37020202002487673 turn heart transplant younger person\n",
            "84767 0.19641923707745024 splenic artery aneurysm excruciating pain left abdomen generating kidney area\n",
            "84768 0.540559268453208 wake morning feel like im going faint hot shake headache whats wrong\n",
            "84769 0.4013869565179544 short breath 247 hv anxity tht b cause lot test like spromiter xrays echo takn xanx n propranolol stil brethless plz hlp\n",
            "84770 0.2527907842703973 person sarcadodis drink alcohol\n",
            "84771 0.24710719211365947 stomach distend 4 months causing shortness breathe\n",
            "84772 0.21527210887860665 tooth extracted taking aggrenox\n",
            "84773 0.28129176495666447 started taking 50 mg atenolol jan 2012 added 360 mg verapamil july gradually started losing hair medicine causing\n",
            "84774 0.49225494927933355 strange clicking popping feeling heartbeat post exercise shortness breath like pressure preventing getting breath im 19 weigh approximately 180lbs\n",
            "84775 0.3985887544041466 worried got olive oil eye\n",
            "84776 0.3547529479321538 sudden severe pain left arm shoulder dont remember injured\n",
            "84777 0.2591116283873521 doctor raynauds vasospastic attack\n",
            "84778 0.443224592019055 triple bypass patient pushups years long attempting dont want compromise wires inside wt 240\n",
            "84779 0.35794043035796586 started nizoral ketoconazole 2 week dr s orders twice week use good ive noticed change seborrheic dermatitis flakes\n",
            "84780 0.4324645143723272 feel like needles poking heart chest occur breath deeply worried\n",
            "84781 0.3738070787635159 questions heart vascular systemdo tissues things damage\n",
            "84782 0.39246338754458526 strange tingling sensation head feels kinda fuzzy like pass lingers day arms legs ideas\n",
            "84783 0.4401151682803964 shortness breath simple tasks like brushing teeth easily irritated lack patience 29 yrs 6 178 lbs male blood pressure 13negativesmiley82\n",
            "84784 0.31785492444265695 sharp chest pains blurred vision numb arms indicate\n",
            "84785 0.304309099919627 physical contact husband having deep vein thrombosis\n",
            "84786 0.38715325666948314 restaurants serving sweet potato fries instead regular french fries nutritional values compare\n",
            "84787 0.2830145237693808 knee joint pain rest knee restless leg syndrome plmd alleviate symptoms\n",
            "84788 0.29753802587440814 short breath frequently\n",
            "84789 0.33273377822077194 oxygen level 98 short breath chf related\n",
            "84790 0.3173971831726948 heart surgery heroin addicts usually end needing\n",
            "84791 0.19073219550291964 difference anticoagulants antithrombotics antiplatelets\n",
            "84792 0.46253897374390107 matter issues headaches arms numb im prompted angry upset clean house nerves blood pressure\n",
            "84793 0.38405460305681643 eat sushi turn freezing cold blue lips pale idea\n",
            "84794 0.3223304270079366 cause pain right chest\n",
            "84795 0.18747680685611426 carotid pulses 24 bilaterally mean bruit abdominal aorta prominent femoral pulse 24 bilaterally normal\n",
            "84796 0.4125652759296313 heart suddenly feel painful\n",
            "84797 0.3756734460438373 return work tia\n",
            "84798 0.3100936205454475 fathers blood pressure high\n",
            "84799 0.14435031921327404 possible noninvasive treatments mitral stenosis mitral valve area 0 85\n",
            "84800 0.23699905409622796 difference antiplatelet anticoagulant drugs stroke\n",
            "84801 0.17615446809835547 differences systolic diastolic blood pressure\n",
            "84802 0.15286781121221793 risk cancer unprovoked pulmonary embolism symptomatic discovery clot\n",
            "84803 0.3050269859783786 disorders cause fluid retention leads hyponatremia\n",
            "84804 0.39540405753232966 echocardiogram blockages heart im 6ft 150lbs athlete 39yo 5 years ago good\n",
            "84805 0.249544527241041 myocarditis effect blood pressure\n",
            "84806 0.1763675857775177 cerebral angiography tell vasculature mrimramrv contrast tell stenosis stents\n",
            "84807 0.2554813323409108 difference prescription overthecounter niacin\n",
            "84808 0.27381621380959376 medications treat pansystolic murmur\n",
            "84809 0.2190337519047342 normal bp walking running\n",
            "84810 0.26061618232904277 included assessment geriatric patient possibly experienced acute ischemic stroke\n",
            "84811 0.27284448621130747 pheochromocytomas cause episodes attacks symptoms symptoms tach sob sweating elevated bp dizzy flushed constant\n",
            "84812 0.3638733938684943 white viginal dischrge leg pain chest pain stomach upst bcz birth control pills took 2 weeks befor having pains y guide\n",
            "84813 0.27823440647117836 normal abnormal blood pressure\n",
            "84814 0.27805578595685715 medical definition emphysema copd\n",
            "84815 0.3925781445225772 mean heart feels like theres air bubbles fallowed fever\n",
            "84816 0.3498148683835454 causes finger clubbing young patient\n",
            "84817 0.40268596490300795 heart burn im hungry\n",
            "84818 0.2951865221586972 normal ck level exercises intensely bodybuilder\n",
            "84819 0.32346749644738665 appraxia speech percentage kids able talk dose omega 3 6 9 2 years\n",
            "84820 0.31986533421348484 machine test someones blood pressure\n",
            "84821 0.23142139809114054 difference adrenal fatigue cushing syndrome\n",
            "84822 0.2942333788422219 difference atherosclerosis peripheral vascular disease\n",
            "84823 0.2112277695670986 valve replacement encephalitis present\n",
            "84824 0.34636184707143536 lowers blood pressure taking medication\n",
            "84825 0.13114485537248427 amlodipine besylate tabs\n",
            "84826 0.41325328141352924 ways treat heart disease angina high blood pressure\n",
            "84827 0.11177692099958704 abi detect aneurysm\n",
            "84828 0.39110273407953344 causes bulging vein artery neck visible pulse sign im skinny different underlying condition\n",
            "84829 0.42790921211778604 type doctor post dvt leg symptoms pain pain getting worse age use compression sock feet work\n",
            "84830 0.4750974423074421 mean ankles swollen dont eat tons salt doubt kidneys high cholesterol issue\n",
            "84831 0.38700289311351976 neurologist cardiologist able diagnose autonomic dysfunction difficult task symptoms look\n",
            "84832 0.5095318244402222 pregnant uncomfortable lay feels hard breathe heart race pounds\n",
            "84833 0.3914870662876319 drs listen u breath tell copd emphysema\n",
            "84834 0.314173635593103 aspirin prescribed patient slightly elevated blood pressure\n",
            "84835 0.48472757958096824 heart area feels uncomfortable help\n",
            "84836 0.12463792518415193 noncardiac pulmonary edema body\n",
            "84837 0.17911547412242174 recommended inr level diagnosed antiphospholipid syndrome\n",
            "84838 0.3146887657221354 different best concor 2 5 mg tenormin atenolol 25mg tell\n",
            "84839 0.24580985372847886 differences cardiac intervention cardiac diagnostic procedure\n",
            "84840 0.38141703598598975 left leg feels like pulled muscle tight thigh foot injure known risk factors dvt\n",
            "84841 0.4264503773438578 things cause increase blood pressure\n",
            "84842 0.4472092775180192 proper way blood pressure\n",
            "84843 0.15695292220477733 pulmonic valve nl wphysiologic regurgitation mean\n",
            "84844 0.2605901985101905 child congestive heart failure heart attack\n",
            "84845 0.18246264829751685 hypertrophic cardiomyopathy reverse children\n",
            "84846 0.34232134429811456 collapsed lung lead heart attack family history heart problems\n",
            "84847 0.24640390526916991 child dilated cardiomyopathy like adult\n",
            "84848 0.4091179102356739 wpw prevent kid active\n",
            "84849 0.06226567147564436 ibs cause atrial fibrillation person\n",
            "84850 0.2222025707649897 order defibrillator\n",
            "84851 0.12113064689859464 pathophysiology dilated cardiomyopathy\n",
            "84852 0.10375830308711331 metoprolol taking flecainide\n",
            "84853 0.15570141261018414 define sinus bradycardia\n",
            "84854 0.2790278697145334 explain heart valves openingclosing synchronized hearts pacemaker firing\n",
            "84855 0.26983323977610746 prescribe beta blockers postcoronary artery bypass surgery lbbb patient\n",
            "84856 0.2793153049036498 increase blood level cause palpitation\n",
            "84857 0.2028728063453505 recommend best reference source learn ablation atrial fibrillation\n",
            "84858 0.25192816622056335 beta blocker given post operative coronary artery bypass surgery patient lbbb\n",
            "84859 0.3415426752485533 tell pacemakers\n",
            "84860 0.25902693386786496 teenager stress cardiomyopathy broken heart syndrome\n",
            "84861 0.3520327372919176 bulimia cause heart attack youre teen\n",
            "84862 0.22099278647971785 erectile dysfunction medication takes 100 mg twice day flecainide acetate\n",
            "84863 0.17929611566407802 magnetic field treatments pacemaker\n",
            "84864 0.32386455615469306 consume alcohol taking flecainide meds\n",
            "84865 0.2517352222817279 detect heart injury accident ekg\n",
            "84866 0.12262367520645262 atrial fibrillation affect ed\n",
            "84867 0.2727507242490545 tell difference heart failure myocardial infarction\n",
            "84868 0.19221410629625632 live cardiomyopathy\n",
            "84869 0.23865972490760642 certain medications causes dilated cardiomyopathy\n",
            "84870 0.29265054804511975 defibrillator removed inside body\n",
            "84871 0.312450144907608 survive viral dilated cardiomyopathy taking required medications\n",
            "84872 0.2568295221685596 echocardiogram cause heart attack\n",
            "84873 0.1992691377087002 automated external defibrillator police responders\n",
            "84874 -0.00013615268321228238 tramadol atrial fibrillation\n",
            "84875 0.12801861487267038 teenager viral cardiomyopathy\n",
            "84876 0.3775821075112061 smoke marijuana days anxietypanic attack 2 days ago panic attack smoking marijuana went hospital fear heart attack ekg chest xrays blood work results came\n",
            "84877 0.3254812865282914 high blood pressure low pulse rate\n",
            "84878 0.15805011079252948 pacemaker fix cases atrial fibrillations\n",
            "84879 0.3991361009678064 tell normal heart rate blood pressure\n",
            "84880 0.3333023978430211 arrhythmias feel like\n",
            "84881 0.3525780375356169 explain heart beats pacemaker necessary\n",
            "84882 0.011873308153419578 atrial fibrillation lethal\n",
            "84883 0.3582719439291507 magnesium supplement help resolve pvcs\n",
            "84884 0.33443847605236837 prevent heart attack putting stent\n",
            "84885 0.37680452174744417 having heart attack morning blue right arm sore day progressed arm gotten painful stabbing pain radiates shoulder neck unusual terms\n",
            "84886 0.4156305815983858 anemia hands feet cool jump feet heart rate speeds hear pulse right ear\n",
            "84887 0.23760227137355067 teen heart attack\n",
            "84888 0.3718184408704609 viagold sexual performaance men high blood pressure im taking metoprolol 50mg twice day control\n",
            "84889 0.19355451643712732 explain supraventricular tachycardia svt 16 year old tested\n",
            "84890 0.20830024741535305 pulled chest muscle mistaken palpitations\n",
            "84891 0.3795648566753137 pulse rate different heart rate ant went dr said heart rate hige pulse rate low miss stand posable\n",
            "84892 0.2726480663006629 irregular heart beats caused gastric problems\n",
            "84893 0.33291186846075865 heart attack arteries heart okay\n",
            "84894 0.24861404608111387 getting upset cause tachycardia\n",
            "84895 0.18669105107834702 cardiologist eastern sc deals postural orthostatic tachycardia syndrome\n",
            "84896 0.2498346850290043 temper outburst heart disease plaque lining arterial walls catalyst plaque rupture consequent mi\n",
            "84897 0.2237836488695437 tell taking persons pulse atrial fib\n",
            "84898 0.33248026448449935 pregnancy testing heart having dsrhythmia arythmia psvt\n",
            "84899 0.3429865922410289 heart attack cholesterol level 200\n",
            "84900 0.30048959158380706 thumb measuring heart rate\n",
            "84901 0.2451539078810775 wine aggravate arrythmia\n",
            "84902 0.4848011729899194 abnormal ekg elevated troponins indicate possible mi event pain arms legs hands feet tell tell signs slow pending cardiac event happen pain value 79 thank advance t\n",
            "84903 0.3367470579531064 explain telemetry monitoring telemetry floor mother cardiac patient pacemaker type 2 diabetic abnormal ekg elevated cardiac enzymes unresponsive cold suffered m\n",
            "84904 0.3257969047663366 heart rate high running\n",
            "84905 0.35690090583795764 pvcs rvot cause vt vf cardio said pvcs rovt benigm\n",
            "84906 0.4787138509411615 slow heart rate cause water retention looking answers suffered years problem know slow heart rate pac benign\n",
            "84907 0.3811923532524547 18 year old heart attack little chest pain pass makes dizzy numbness left arm chest pain seconds 30 minutes goes away happens mor\n",
            "84908 0.23076923516740197 coreg carvedilol cause joint pain\n",
            "84909 0.1414765852960316 baclofen implanted pump cause transient tachycardia\n",
            "84910 0.23687945582936412 long term pediatric adolescent use valium spastic cerebral palsy cause transient tachycardia adult\n",
            "84911 0.15559360619784796 cardiac arrhythmia cured\n",
            "84912 0.24873935114349416 bad bradycardia\n",
            "84913 0.15052698603550413 die atrial flutter ignore\n",
            "84914 0.17699726650143946 die beta blocker overdose\n",
            "84915 0.3304287838762258 die heart attack ignore\n",
            "84916 0.08029574159294352 vasovagal syncope cured\n",
            "84917 0.1428677751218658 arrhythmia caused magnesium defficiency\n",
            "84918 0.3857583720976381 pvcs cause fast heart rate drinking\n",
            "84919 0.22166997688009252 die bradycardia ignore\n",
            "84920 0.1731963062352028 travel philippines 2012 pacemaker implanted dec 2011\n",
            "84921 0.10422116304730558 pvcs lead vtach\n",
            "84922 0.40783000064457187 person pvcs inboth vent time ok\n",
            "84923 0.45832294935900664 chest pain ive bad migraine days recently started having chest pain going hour im pretty sure im having heart attack stroke im 18 tried usual migraine medications\n",
            "84924 0.11966865127325807 die vasovagal syncope\n",
            "84925 0.1233519902460303 rheumatic fever cured\n",
            "84926 0.25343638051620554 die rheumatic fever ignore\n",
            "84927 0.17020594721196333 die rheumatic fever\n",
            "84928 0.20903281177886288 symptoms dizziness blurred vision caused metoprolol coversyl plus\n",
            "84929 0.23865847058260753 dehydration cause heart palpitations\n",
            "84930 0.10187332119284774 excerdin toprol metoprolol xl excedrin migranes\n",
            "84931 0.10252235482233236 compare ventricular vs supraventricular tachycardia\n",
            "84932 0.20366314097549265 irregular heartbeat caused bystress\n",
            "84933 0.3025282571125845 anxiety cause silent heart attack\n",
            "84934 0.4156559995276981 swollen lymph node left temple fever chills headache body aches hard time breathing fatigue whats going\n",
            "84935 0.11078259045359452 renal artery stenosis treated stenting bypass\n",
            "84936 0.3518839505934297 raynauds treated right away\n",
            "84937 0.3743145668438664 help doctor years pain chest left center torch arm pit shoulder help ro heart\n",
            "84938 0.3663650681044777 lpa tested great cholesterol count 94 hdl 47 ldl 34 triglycerides 64\n",
            "84939 0.3314677518084769 sudden leftside facial numbness lh fingers tingling headache bp wide fluctuation tia whats safe dose aspirin diagnosis\n",
            "84940 0.2021392812634416 brain aneurysm patient laparoscopic surgery\n",
            "84941 0.3483479168375968 severe tingling pain non continuous 15yrs middle ring litle finger right hand ho dbts htn tb hypothyroidc possibl causes tt\n",
            "84942 0.503041343926965 smoke 6menthols day 10yrs getting short breath lately im standing short breath chest pain whats wrong\n",
            "84943 0.439826103337395 heart hurts suddenly beats strongly hyperventilation little light headed goes away\n",
            "84944 0.41403240393026364 pain chest dont gone docs worrying cause pain\n",
            "84945 0.4042115171460743 exercise daily days m experiencing dull pain chest left worsen lying help\n",
            "84946 0.4960555970487094 stress test heart cath normal left chest daily pain spacli wake morning dont know seen doctors daily\n",
            "84947 0.4957339216321246 started eating cornstarch baby powder nd today heart hurt dont know think hve pica\n",
            "84948 0.3855315941606319 avoid coffee hypertension avoiding caffeine coffee doctor says hypertension\n",
            "84949 0.4326458412733955 soreness lower right tired time 48yrs old blood pressure meds female started 2 months ago\n",
            "84950 0.3910723469886235 short random sharp chest pain diabetic high blood pressure deal depressiom\n",
            "84951 0.38414632563118034 sore throat coughing nasal drip normal temp allegerys 6 days viral bacteral 61 years slighty high bp health probs\n",
            "84952 0.22331249512863727 shortness breath bloody cough shortness breath 56yearold smoker\n",
            "84953 0.2883227856744502 mother emergency room chest pain symptoms\n",
            "84954 0.5440415995393405 sir suggest whats best thing regards ischemia undergo stress test doctor told ok normal\n",
            "84955 0.300630597761998 severe pain right lung coughing shortness breath\n",
            "84956 0.33372656960689895 sharp pains left breast having pain tingling left arm shoulder wrist day long 12 hours concerning\n",
            "84957 0.3400284804543702 severe headache followed diahrrea nauseous temp 96 4f grandfather died brain aneurysm worries flu worse\n",
            "84958 0.3450097669632068 son surgery coarctation aorta brain cooled 25 degrees possible long term effects associated brain cooling\n",
            "84959 0.3946327051706974 neck tight scapula muscles tight giving slight anxiety shortness breath whats problem positivesmiley\n",
            "84960 0.2843374953171559 shortness breath burning sensation pains chest lot burps fatigue\n",
            "84961 0.29207713340615493 patients situs inversus extra caution\n",
            "84962 0.32364795044331757 contact doctor fainting having slight pain coumadin warfarin\n",
            "84963 0.41077056445123244 sir operated open heart surgery pulmonary r p 1year having problem want punch punching bag\n",
            "84964 0.3392856024388472 shakiness awareness heartbeat pressure head\n",
            "84965 0.3978378334969826 sir bp remain 13594mg generally ayurvedic medicine muktavati 11282 distolic high compare systolic\n",
            "84966 0.23942509339305398 gp pulmonologist emphysema management\n",
            "84967 0.312253570983214 swollen feet numbness daheria went gp doctor said feet inflammation\n",
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            "84969 0.3350622349726593 sudden sharp pain starting thigh calf fractured l3l5 4 yeara ago relation dvt 28f exercise regularly\n",
            "84970 0.3302564301524081 strokeswishing sound earswould surgery answer stroke victim 2 years\n",
            "84971 0.4229222655598857 times day standing exercise heart gives sudden thump jumping dropping sensation dangerous\n",
            "84972 0.3524739861181514 sharp pains mid lower comes goes takes breath away nausea vomiting\n",
            "84973 0.2838083367986993 feels like chest pain left left forearm numb tingly pain left shoulder blade\n",
            "84974 0.2642603915753821 effects low inr\n",
            "84975 0.43914604672459556 got 4 positive hpt day sex faint day test 3 plus confirmed clinic im 3 days pregnant impossible\n",
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            "84979 0.27811940553126474 doctor cold symptoms breathing troubles night methotrexate humira adalimumab\n",
            "84980 0.2867907651876001 sharp chest pain sleeping left\n",
            "84981 0.33074215434516435 seek medical attention severe itching body vomiting chest pain cough fever headache ect\n",
            "84982 0.4764432087331228 time heart beat blood pressure good ha e fee\n",
            "84983 0.3271718514785414 diabetic patient coumadin warfarin mouth dental extraction\n",
            "84984 0.3937528602306641 related burning second small toe high blood pressure 170111 severe hbp reading\n",
            "84985 0.2837218943588714 symptoms seated head knees dizzy passing verge unconsciousness 15 minutes\n",
            "84986 0.40587195556065947 short breath standing laying fighting sinus infection feel little dizzy chest pain arm pain\n",
            "84987 0.32994622228869874 stomach flutters left abdomen im 43 hysterectomy know pregnancy\n",
            "84988 0.42133467376419886 started dexilant dexlansoprazole month ago reflux better wosening tinnuitis chest tightness blurry vision leg going sleep quit\n",
            "84989 0.4412996271520038 sir 10 weeks pregnant scan result shows heart beats hope waiting\n",
            "84990 0.38644330764249635 sholder pain moving arm isit heart sholder cuff er told coming heart\n",
            "84991 0.43042101745238215 sharp pain chestnear heart started yesterday hurts coughs breaths similar pain diff dad 45 yo\n",
            "84992 0.3370185934800153 shocking pain right neck shoots chest right ear burns right shoulder goes numb arm hearts\n",
            "84993 0.4838247459368977 worry quick sharp pain near heart gas feel depression sporadic 16 times year\n",
            "84994 0.41786491329774894 like theres heartbeat stomach\n",
            "84995 0.24877352844647416 fish oil capsules chlortrimetonallery tablets sickness\n",
            "84996 0.3462867955436004 drink orange juice soft cardiac diet\n",
            "84997 0.29047901100577694 severe heartburn chest pain vomiting food drink 12hrs\n",
            "84998 0.4395516579289856 fingers feel swollen big night laying downsleeping wake\n",
            "84999 0.431382705213187 foods help lower cholesterol\n",
            "85000 0.33823765753406204 difference generic prescription blood pressure medications\n",
            "85001 0.4762838067477025 different btwn cardio workout stressful situations hr goes 150 train heart healthy\n",
            "85002 0.3445182899250897 kind doctor diagnose pansystolic murmur\n",
            "85003 0.33249098068038435 mean testosterone high blood pressure low\n",
            "85004 0.313112188981294 heart disease hcm causes\n",
            "85005 0.3207927479685822 cause intense heart pains\n",
            "85006 0.21890160030646333 cause murmur heart\n",
            "85007 0.16902276757323206 double cardiac catheterization\n",
            "85008 0.3244092074319868 better arthritis cod liver oil fish oil\n",
            "85009 0.1488044349063498 mild pulmonary regurgitation\n",
            "85010 0.24661897902834104 raynauds cause pemanent levido reticulares upper right quadrent signify autoimmunity\n",
            "85011 0.2241679787950463 difference antiplatelets anticoagulants\n",
            "85012 0.18542374302571676 cause swollen lymph nodes aorta\n",
            "85013 0.4357439149973017 blood pressure medicine rest life\n",
            "85014 0.29100899398537033 relationship inflammation heart carditis infection group betahemolytic streptococci\n",
            "85015 0.36238960106285706 breathe chest feels cold makes cough congestive heart failure\n",
            "85016 0.44307186150862565 stop coughing having trouble breathing makes weak\n",
            "85017 0.2673376299982131 sitting straight apical pulse right place leaning left apical shifts left abnormal cardiomegaly\n",
            "85018 0.2665092106907867 dulera formoterol mometasone help breathing problems\n",
            "85019 0.2995417838245776 pain angina brought exercise stress\n",
            "85020 0.20695230957014338 cardiovascular cartography machine\n",
            "85021 0.2340155908130349 causing aching tightness chest heart area\n",
            "85022 0.39940125371059365 cause resting blood pressure increase matter days approx 13385 160112 high 194122 chest pain\n",
            "85023 0.2817370377484658 heroin addicts end needing heart surgery\n",
            "85024 0.1408516526137088 differences tricuspid pulmonary mitral valve\n",
            "85025 0.20553347607732175 exercises surgery thoracic outlet syndrome\n",
            "85026 0.06517712820985348 reversible ischemia anterior lateral wall\n",
            "85027 0.4510487425396249 happens heart valve doesnt close way\n",
            "85028 0.0871893963313356 trivial mitral regurgitation\n",
            "85029 0.4950875270734499 causes rear chest pain swallowing feels like food stuck pass dont problem breathing\n",
            "85030 0.45156810195699143 balloon valvuloplasty help issues indicate procedure help patient\n",
            "85031 0.3378274563787144 omega3 supplements contain cholesterol\n",
            "85032 0.3553574426730516 whats stress thallium test\n",
            "85033 0.25448957500003544 symptoms chf copd\n",
            "85034 0.15595777926627838 difference aneurysm hemorrhagic stroke\n",
            "85035 0.3499435404539293 tell leaking heart valve\n",
            "85036 0.1869329695666408 av valves heart located\n",
            "85037 0.4452740611189766 someones heart feel like jumps\n",
            "85038 0.445160910233779 issues problems heart person indicate balloon valvuloplasty right decision choice\n",
            "85039 0.3665387197893971 doctors recommend alleviate dyspneawheezing\n",
            "85040 0.27286046430117833 pain running left arm numbness shortness breath ringing ears 1 to2 days\n",
            "85041 0.5569137455414765 kind high blood pressure medicine good elderly people\n",
            "85042 0.2338440704383465 difference arteriosclerosis calcification\n",
            "85043 0.42343648115485016 whoat exactly cholesterol body\n",
            "85044 0.35149243793964935 causes pulse feel arm blood pressure measurements\n",
            "85045 0.29471490837748787 impossible run gasping air\n",
            "85046 0.24834819483515702 cause severe rib pain\n",
            "85047 0.31468051510884093 kinds health poblems caused blockages coronary arteries\n",
            "85048 0.23801679683098542 reliable test thalium scan echocardiography\n",
            "85049 0.2562458421761831 causes pulsating artery neck normal multiple veins neck clearly standing\n",
            "85050 0.24713647826730364 4 leaky heart valves\n",
            "85051 0.4351073729861942 waking middle night gasping air choking saliva think burning throat im terrified dont want sleep\n",
            "85052 0.43058972519100797 someones heart feels like burning\n",
            "85053 0.3254053129655922 risks pregnancy complex congenital heart disease\n",
            "85054 0.2790475812176211 heart attack normal ekg\n",
            "85055 0.2577913536468598 consumption alcohol safe causes tachycardia\n",
            "85056 0.2490617205261042 use defibrillator\n",
            "85057 0.3618072095941664 sleep holter monitor\n",
            "85058 0.23686035758546886 bluetooth receiver mess pacemaker\n",
            "85059 0.359439041814372 drink gatorade exercise stress test\n",
            "85060 0.22935447868479963 alcohol heart palpitations\n",
            "85061 0.3592158950610306 years high blood pressure cause heart attack\n",
            "85062 0.26323406076789146 gas stomach cause heart palpitations\n",
            "85063 0.10845075318301116 tell ectopic atrial tachycardia ablation avnrt breakthrough episodes doc says\n",
            "85064 0.28031249496095156 low estrogen cause heart palpitations\n",
            "85065 0.39080217269343437 actually die continued laughter maybe arrhythmia\n",
            "85066 0.3529131984879677 ptsd stress cardiomyopathy k broken heart syndrome connected way\n",
            "85067 0.08541945286299976 young adults atrial fibrillation\n",
            "85068 0.27872403033177096 chest tightness difficult breathing deeply palpitations 911\n",
            "85069 0.390567102425116 potassium given injection form elderly mother problem low potassium tablets sick stomach\n",
            "85070 0.2004613934943196 heart rate 200 beats minute sinus tachycardia\n",
            "85071 0.30700113948132235 stroke caused irregular heart beat low heart rate\n",
            "85072 0.18572141723957314 pacemaker revive fatal arrhythmia\n",
            "85073 0.3960285453005634 heart attack im 37 yr old female ive high blood pressure 7 yrs im beta blocker 7 days ago awoke dead sleep pain middle chest wasnt excruciating painful hard describ\n",
            "85074 0.27220032041202363 anxiety cause silent heart attack angina\n",
            "85075 0.3385747440749566 low dopamine levels cause cardiac dysfunction thanks read low dopamine levels related parkinsonsone symptoms autonomic dysfunction include cardiac problemsracing pounding palpitations\n",
            "85076 0.2427074731674051 wine alcohol heart palpitations\n",
            "85077 0.3779693920764561 having lot stress causes silent heart attack angina\n",
            "85078 0.28562079815085406 going estrogen cause palpitations\n",
            "85079 0.25732829285365705 heart attack result missed delayed period perimenopausal woman\n",
            "85080 0.2535620887182811 melatonin cause irregular heartbeat\n",
            "85081 0.1716363261420707 ear ringing caused hi bp choleserol meds meds im bp ramipril metoprolol tartate choleserol crestor rosuvastatin\n",
            "85082 0.2609405566781858 claritind cause rapid heart rate\n",
            "85083 0.3076853088112982 pounding heart caused dehydration dehydration cause weak heartbeat\n",
            "85084 0.2777464398045108 heart attack bmp normal\n",
            "85085 0.20057972595888743 vagal nerve stimulation device cause cardiac arrest\n",
            "85086 0.3453419858321669 overthecounter cold medicine cause rapid heart rate grader\n",
            "85087 0.14996551961159346 baby tachycardia time\n",
            "85088 0.26785144594299565 having stroke heart attack cause erectile dysfunction\n",
            "85089 0.2768621280745462 implanted internal defibrillator shock unborn baby\n",
            "85090 0.259695943478329 broken heart syndrome sob time\n",
            "85091 0.226391382629478 arrhythmia cause symptoms like dyspnea\n",
            "85092 0.19847872316373474 electrocardiogram detect blocked coronary arteries\n",
            "85093 0.2168200336115666 hyperkalemia hypernatremia occur time iv fluid\n",
            "85094 0.36463613574434284 high blood pressure low heart rate time\n",
            "85095 0.043720468974263064 pericardial effusion lead myocardial infarction consequence\n",
            "85096 0.4204749700484616 eat drink light nuclear exercise stress test\n",
            "85097 0.3114326539578306 bad kidney causes pain cause hypokalemia\n",
            "85098 0.2695274206079419 coronary artery disease cause problems causing heart attack\n",
            "85099 0.31703901383411803 person long qt syndrome die suddenly\n",
            "85100 0.3524924993212934 pain mess increase heart rate\n",
            "85101 0.3864229942482383 exess exercise cause fast heart rate\n",
            "85102 0.3607977448140298 24 holter monitor catch abnormality heart\n",
            "85103 0.190441689037015 digitalis abnormal heart rhythms\n",
            "85104 0.4049580361809869 energy drinks affect heart rate\n",
            "85105 0.3678730517931318 fibroid cysts heavy periods cause dizziness lightheadedness loss balance ekg tilt table thyroid stress test good\n",
            "85106 0.19960003352093358 alcohol induce cardiac arrhythmia\n",
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            "85108 0.13778573147567036 reverse dilated cardiomyopathy\n",
            "85109 0.05057426101726661 ventricular tachycardia cause blackout\n",
            "85110 0.5732632892144545 stress wo health issues cause heart attack suffer anxiety clean health\n",
            "85111 0.25884238263912523 heart arrhythmia passed child\n",
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            "85113 0.02126311701079305 adderall dextroamphetamine racemic amphetamine paroxysmal supraventricular tachycardia\n",
            "85114 0.27954507613449103 tell whats supraventricular tachycardia\n",
            "85115 0.36049735729611354 child fever heart racing 2 yr old daughter rectal fever 105 day fever day plays fine steady doses tylenol motrim currently cold presses popsicles er heart rate 150\n",
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            "85117 0.209888743779675 patient cardiac difbralator treated amiodarone\n",
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            "85126 0.2805857022802941 chest pain heart attack 5 days muscular pain\n",
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            "85129 0.15462732460273956 list symptoms myocardial infarction women\n",
            "85130 0.18951282256204888 cardiac electrophysiology information\n",
            "85131 0.2424899271978133 tell early signs symptoms myocardial infarction\n",
            "85132 0.24444896131023652 drug overdose lead death hypertrophic cardiomyopathy condition genetic\n",
            "85133 0.45511779672595826 holter monitor feel stressed\n",
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            "85136 0.36503096902843724 believe silent mi unlikely diagnostic tests heart attacks correct\n",
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            "85143 0.380591110833727 tell symptoms heart block\n",
            "85144 0.22078490265302897 degree heart block reversed\n",
            "85145 0.18081663385183785 teen outgrow postural orthostatic tachycardia syndrome pots\n",
            "85146 0.3694728442871958 3 weeks having mild radiating chest pain upper arm heart diagnostic tests normal advise\n",
            "85147 0.27528565495259477 coumadin warfarin thins blood prevent new clots forming coumadin warfarin actively dissolve clot formed\n",
            "85148 0.3025175745598054 symptoms raspy cough includes chest pain right pain hip tummy pain right pain shoulder blade nausea heartburn\n",
            "85149 0.3192180905515738 sir pain upper shoulder s hearts breath deep\n",
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            "85151 0.2868796138165722 son 2 years old blue lips vomiting advice\n",
            "85152 0.46138711740113164 stress test ame ok said reversible ischemia whats mean gonna die 10 positives test\n",
            "85153 0.4287471144458318 spikes blood pressure lifestyle like smoking drinking stress major cause cluster headaches\n",
            "85154 0.4243851101942044 people aware cardiovascular diseases\n",
            "85155 0.39737307341695566 swelling entire body stomach liver kidney thyriod heart tests normal drs stumped edema need help\n",
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            "85157 0.3632802110128711 pain ear head ares wrong positioning im paranoid aneurysm\n",
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            "85159 0.26075730441160544 severe rectal pain bowel movement causing fainting condition\n",
            "85160 0.5157846412580257 sholder chest pain left thing evry day help tell help 3 cardiologist cleared heart doctor d k\n",
            "85161 0.2669935569221427 second opinion coumadin warfarin prescription\n",
            "85162 0.3029353828942846 tendancy isolated systolic hypertension diastolic stays normal docs tried meds diastolic drops low treated\n",
            "85163 0.32676137283130996 worried emphysema age 1920\n",
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            "85165 0.35786434412971485 heart races million shortness breadth happen\n",
            "85166 0.2297010690705062 unconscious 2 days subarachnoid hemorrhagic stroke entire body responsive commands\n",
            "85167 0.45924502902865627 skipping heart beat having meal sleeping eating pattern changed vacations started smoking solution\n",
            "85168 0.37394405464449404 sharp pain lower left abdominal week lower pains recently shortness breath help\n",
            "85169 0.4292228093477886 servere external pain left throat trouble breathing swallowing left wo soreness feels like sort blockage help\n",
            "85170 0.25832296262589693 sharp pain 2 3 sec localized area heart located happens 1 month angina\n",
            "85171 0.4174978450802107 stared florinef fludrocortisone 0 5 mg 2days ago 4 dysautonomia caused connective tissue disease currently terrible sharp r chest pain bad hurts breathe florinef fludrocortisone cause\n",
            "85172 0.3761884902151412 started taking prazosin ptsd began getting uncontrollable head movements thoughts\n",
            "85173 0.24441855699191695 impossible equal diastolic sytolic pressure\n",
            "85174 0.29363615129854703 stopped florinef fludrocortisone 0 5 mg prescribed 4 low bp dizzy spells dt edema abd pain gain 7 lbs doses helped bp dizziness urinating clear urine like crazy q 12 hr normal\n",
            "85175 0.27017758952384674 salty clear phlegm mucus little bubbles similar mucus nose mucus cough morning chest pain fev\n",
            "85176 0.22218313938141035 swelling upper abdomen headaches swollen feet\n",
            "85177 0.3562962399103318 concern leg pain heart disease hypertension\n",
            "85178 0.3699371376911138 gave lung congestion doctor took coversyl blood pressure medicine congestion thanks\n",
            "85179 0.21578512527469224 statin pain duration\n",
            "85180 0.543861175204839 sudden shortness breath rest feels like flush fluid chest heart beats hard stress cardiac tests ok scary feeling whats\n",
            "85181 0.1908893524772259 symptoms anyurysm\n",
            "85182 0.4902466864938336 like stars n time feel imbalanced like gonna fall y happening\n",
            "85183 0.4701572546227487 think raynaud disease\n",
            "85184 0.3227851561268082 sore throat dry mouth flem trouble swallowing chest pains headaches blocked nose\n",
            "85185 0.34210219938383335 silent migraine tia 26yr f 8 mos pregnant experienced sudden peripheral vision lossblurrydouble vision rt eye got little dizzy lasted 10 sec\n",
            "85186 0.34090366789589704 worried unusual chest pain\n",
            "85187 0.4562106623288388 cautious pfo dangerous n ask dct close reccomended pros n cons pfo\n",
            "85188 0.29917098899981787 scared miscarriage scared im going dr d heartbeat chances im 7w 3d mc sept\n",
            "85189 0.2949716686702092 severe chest tightness heaviness pain left arm causes going 6 yrs\n",
            "85190 0.2964178503756644 sleep pillow fluid heart\n",
            "85191 0.2684238679176828 worried amniotic fluid embolism pregnancy pregnancy lost baby placental abruption 39wks\n",
            "85192 0.39554332335948167 soft patch roof mouth accompanied difficulty breathing happening\n",
            "85193 0.3704603857616495 avoid drinking alcohol high cholesterol borderline blood sugar\n",
            "85194 0.40037231557125247 swollen throat hot flashes bad earache bad migranes dizziness lightheaded trouble breathing going day half\n",
            "85195 0.3597447436478081 shooting pains left fist heart problems related\n",
            "85196 0.32379490308724007 shortness breath foot swelling fatigue depression right rib cage soreness mean\n",
            "85197 0.12386103968956334 effects angiotensin receptor blockers\n",
            "85198 0.27138993654319515 sugar diagnosed fbs 138mgdl bilirubin 1 9 sgot 252 sgpt 450 usg shows fatty changes blood pressure 13095 weight 100kg\n",
            "85199 0.46149786771483287 setting eating lunch working felt sudden dizzy headvertigo wanted fall hold head seconds causes\n",
            "85200 0.3349960961621423 short breath 6 days lung collapse removal bleb surgery total lung inflate 5th day\n",
            "85201 0.3319156210483092 slight calf pain standing certain positions walking standing laying oth sym dvt\n",
            "85202 0.308708476150187 sore swollen foot gout gone 2 weeks purple skin peeling explaination\n",
            "85203 0.37857482695076883 stress test heart cath beter results\n",
            "85204 0.3332016209027053 sharp pain middle chest upper abs hurts cough sneeze tender touch sternum causes shortness breath lightheaded\n",
            "85205 0.3484177364613688 strange dropping sensation chest makes breathing short heart fast ct scan clear chest xray clear pulmonary embolism dvt\n",
            "85206 0.27483883153904853 sarcoidosis ace level 98 second ace level 111 dr thinks sarc meds ms mg cause\n",
            "85207 0.4183232135883742 saturday feeling dizzy happen blood pressure low check bp 10070 wpulse 79\n",
            "85208 0.3526006917829054 severe pain rib cage starts sides moves center severe sweating shallow breathing cardiac testing\n",
            "85209 0.49620617266522804 stress anxiety preventing belly breathing try belly breathe lot stick mucus comes chest tight\n",
            "85210 0.260321395576835 blood pressure medication hypertensive retinopathy\n",
            "85211 0.3585649244248145 severe headaches migraines earache aching eyes feel extremely sick brain aneurysm\n",
            "85212 0.3945122930946013 sever swelling abdomen legs ankles severe headache alcoholic high blood pressure whats wrong\n",
            "85213 0.390116835248099 suggest uncle got stroke suffering brain hemorrhage stroke affect half body right\n",
            "85214 0.2662224048795673 symptoms hole heart\n",
            "85215 0.2948494164928949 difference arteriosclerosis ateroesclerosis\n",
            "85216 0.2217861994852468 doctor scleroderma\n",
            "85217 0.2770449253918921 dose coversyl medication blood pressure 13399\n",
            "85218 0.30951291061428543 exactly heart located body\n",
            "85219 0.27660385084809197 middle chest hurt\n",
            "85220 0.19890255232216159 explain dyspnea normal oxygen saturation\n",
            "85221 0.3630054801128996 better brain flaxseed oil fish oil\n",
            "85222 0.22825157877424515 clear clogged arteries\n",
            "85223 0.4131544551513807 foods drinks help lower cholesterol\n",
            "85224 0.18988524116916278 severe headache taking plavix clopidogrel\n",
            "85225 0.3116214484505381 think drug ventavis iloprost treating pulmonary hypertension\n",
            "85226 0.2802519348658638 treatments moderate leak pulmonary heart valve\n",
            "85227 0.1065734055326635 omega 369 capsules\n",
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            "85229 0.2568824531028243 organs cardiovascular\n",
            "85230 0.37078140589388997 doctor studies human hearts\n",
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            "85232 0.2197188824279334 happens 27 sandozcandesartan plus 1612 5 mg\n",
            "85233 0.28583051222156347 nutritional difference proteins lipids carbohydrates\n",
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            "85235 0.41405934589454557 happen doctor prescribes cardizem 62 year old man normal blood pressure\n",
            "85236 0.17035453850175725 difference cardioversion tee cardioversion\n",
            "85237 0.29668868917151525 stroke survivors experience respiratory problems\n",
            "85238 0.23107771016832374 signs symptoms atherosclerosis\n",
            "85239 0.29347660822980465 acronym help assess stroke patients\n",
            "85240 0.35158367187320083 like info congestive heart failure\n",
            "85241 0.3405808670150415 patient able bisoprolol bblocker\n",
            "85242 0.14355130939172484 difference malar flash mitral stenosis rash sle\n",
            "85243 0.3079187227664815 specialist consult continuous undiagnosed chest pain\n",
            "85244 0.3321424649628416 variety hawthorn beneficial heart\n",
            "85245 0.49397585377246994 harder breath im neck deep water standing sitting like pressure chest hard breathe\n",
            "85246 0.34868741911404266 optimal range blood pressure levels\n",
            "85247 0.22200614982921707 tests cardiologist\n",
            "85248 0.4823273690966639 mean hard time breathing im sitting inhaler helping\n",
            "85249 0.4099648801384404 risks developing blot clotpulm embo controlled blood pressure pulm hypo cleared cardio heart cath issues\n",
            "85250 0.23318788268986693 expect echocardiogram\n",
            "85251 0.3027930050302975 difference rightsided heart failure leftsided heart failure\n",
            "85252 0.1671764006412728 headache usually located pheochromocytoma\n",
            "85253 0.2823983106986722 cardiac stress perfusion scan mra highlight pulmonary hypertension present\n",
            "85254 0.38922576548614574 sitting stood secs walking left eye got blurry rubbed disappeared sec tia mom said worry\n",
            "85255 0.4260839913768996 physical fitness plan reduces blood pressure\n",
            "85256 0.2690787827540698 thrombolytic drugs appropriate treating heart attacks\n",
            "85257 0.20672749315150282 happen took seven 80 mg tablets telmisartan\n",
            "85258 0.39104924623935405 woken onoff chest pain followed horrible acid reflux gerd bad scary cardiac instead\n",
            "85259 0.41148966644623075 panic attacks chest gets tight breathe harder chest hurts normal panic attack\n",
            "85260 0.23158934731331746 possible vasculitis lymph nodes swell\n",
            "85261 0.11065500440308876 asd atrial septal defect cause fatigue\n",
            "85262 0.48139126145065664 happens consume whey protein 50mg everyday drink water working fine workout tia\n",
            "85263 0.2196297310179625 ett result positive coronary angiogram result negative\n",
            "85264 0.07110082279942594 commercial clonidine india\n",
            "85265 0.4044343045490994 blood pressure taken stethoscope sphygmomanometer come point pulse sound heard\n",
            "85266 0.30912865558277475 blood pressure measured stethoscope sphygmomanometer pulse heard pressure decreases\n",
            "85267 0.5282408551376944 long eating 3 hrs weak start panic feel short breath whats wrong\n",
            "85268 0.27298079461325364 blood pressure medication commonly prescribed\n",
            "85269 0.19039776326834798 noninvasive cardiologist\n",
            "85270 0.11076466582535405 mean concentric left ventricular hypertrophy\n",
            "85271 0.37405412057774906 cause cramps left neck happening lot quadruple bypass 9 months ago\n",
            "85272 0.3088361828271927 heart burn\n",
            "85273 0.2058392766031615 difference angelman syndrome williams syndrome\n",
            "85274 0.37133844145180234 proper diet diabetic man angioplasty age 56\n",
            "85275 0.22700679046476613 differences anticoagulant antiplatelet agent medication\n",
            "85276 0.16011924541382783 rationale combining injection phenergan promethazine fortwin pentazocine\n",
            "85277 0.08177071799747472 best conventional angiography ct angiography\n",
            "85278 0.3955319964301612 unique taking medicine 24 hours effect md told 10mg simvistatin day ideas\n",
            "85279 0.322462397560123 treat following sypmtoms pain radiate left leg difficulty moving legs high bp 180100 abdomen pain rit s\n",
            "85280 0.27390835568239563 explain incomplete right bundle branch block\n",
            "85281 0.22815760087688644 pacemaker receive radiation therapy near pacemaker\n",
            "\n",
            "\n",
            "Question:  how to keep good health\n",
            "\n",
            "\n",
            "Retrieved:  what are some things that i can eat to maintain good cardiovascular health?\n",
            "polyunsaturated fats from fish nuts fruits & vegetables are main ones.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A7cHSvBHidRO"
      },
      "source": [
        "#Implementing Chatbot using Word2Vec"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-2dpBwuLJvwL"
      },
      "source": [
        "#embedding the exsiting dataset\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "  sent_embeddings.append(getPhraseEmbedding(sent,v2w_model));"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ar79m_aWT-O-",
        "outputId": "f6c14696-9900-46a4-b910-0e9e4ae2a982",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import sklearn\n",
        "from sklearn.metrics.pairwise import cosine_similarity;\n",
        "import numpy\n",
        "import time\n",
        "\n",
        "print(\"Welcome to the Question Answering System\")      \n",
        "\n",
        "while True:\n",
        "  print(\"Question:\") \n",
        "  \n",
        "  question_orig=input()\n",
        "  \n",
        "  if (question_orig.lower()=='quit'):\n",
        "    break\n",
        "  measure1 = time.time()\n",
        "  question=clean_sentence(question_orig,stopwords=False);\n",
        "  \n",
        "\n",
        "\n",
        "  question_embedding=getPhraseEmbedding(question,v2w_model);  \n",
        "  def retrieveAndPrintFAQAnswer(question_embedding,sentence_embeddings,FAQdf,sentences):\n",
        "    max_sim=-1;\n",
        "    index_sim=-1;\n",
        "    for index,faq_embedding in enumerate(sentence_embeddings):\n",
        "      sim=cosine_similarity(faq_embedding,question_embedding)[0][0];\n",
        "      #print(index, sim, sentences[index])\n",
        "      if sim>max_sim:\n",
        "        max_sim=sim;\n",
        "        index_sim=index;\n",
        "    #print(\"\\n\")\n",
        "    #print(\"Question: \",question)\n",
        "    #print(\"\\n\");\n",
        "    #print(\"Retrieved: \",FAQdf.iloc[index_sim,0]) \n",
        "    #print(FAQdf.iloc[index_sim,1]) \n",
        "    print(\"Answer:\",FAQdf.iloc[index_sim,1])\n",
        "    print(\"----------------------\")\n",
        "    measure2 = time.time()\n",
        "    print(\"Response Time\",measure2 - measure1)\n",
        "    print(\"----------------------\")\n",
        "    print(\"\\n\");\n",
        "    print(\"Enter Quit to exit: \")\n",
        "  retrieveAndPrintFAQAnswer(question_embedding,sent_embeddings,df, cleaned_sentences);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "print(\"----------------------\")\n",
        "print(\"Thank You\")\n",
        "print(\"----------------------\")"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Welcome to the Question Answering System\n",
            "Question:\n",
            "How to remain healthy?\n",
            "Answer: the best way to lose weight is to eat less while eating a balanced diet. that means fruits vegetables whole grains and lean protein. for fats use oils like olive and canola. cut down on foods with added calories from sugar. it's also helpful to have support from family members and friends. for more info check out <link>\n",
            "----------------------\n",
            "Response Time 18.334087133407593\n",
            "----------------------\n",
            "\n",
            "\n",
            "Enter Quit to exit: \n",
            "Question:\n",
            "How to eat which keeps us healthy for longer time?\n",
            "Answer: i would recommend a healthy high protein low carb low glycemic diet. make sure you eat adequate protein before trying to exercise. your weakness experienced when you exercise may be from improper intake of food before exercise. start slow with exercise even just walking 20 minutes a day then build from there.\n",
            "----------------------\n",
            "Response Time 18.08911895751953\n",
            "----------------------\n",
            "\n",
            "\n",
            "Enter Quit to exit: \n",
            "Question:\n",
            "Quit\n",
            "----------------------\n",
            "Thank You\n",
            "----------------------\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sEQgSQDGtedX"
      },
      "source": [
        "#With Glove\n",
        "\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,glove_model));\n",
        "    \n",
        "question_embedding=getPhraseEmbedding(question,glove_model);\n",
        "\n",
        "retrieveAndPrintFAQAnswer(question_embedding,sent_embeddings,df, cleaned_sentences);"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uPEBPD0pzvWG"
      },
      "source": [
        "#Dataset2-Easy"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j_fMj1SFzvWH"
      },
      "source": [
        "##Import Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QUhQrEmFzvWI",
        "outputId": "e86a0f0f-6353-4b09-b54f-f9be970bb327",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Loading dataset and renaming columns\n",
        "\n",
        "df=pd.read_csv(\"FAQ_standard.csv\");\n",
        "df.columns=[\"questions\",\"answers\",\"AnswerCode\"];\n",
        "\n",
        "df"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>answers</th>\n",
              "      <th>AnswerCode</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>Job hunting experience involves networking to ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
              "      <td>There are many kinds of roles, data scientist,...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
              "      <td>Hiring is going to slow down. First in small c...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>What skills and qualities do employers look fo...</td>\n",
              "      <td>The following are some skills employers usuall...</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>For more senior roles: People typically look f...</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>Here are some tasks in the typical day of a da...</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>Yes. In many data science interviews (ML Scien...</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>The following three are the basic building blo...</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>Usually the data science interview has a subse...</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>Needs to be reasonably proficient. Again, a da...</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ... AnswerCode\n",
              "0   What does the job hunting experience look like ?  ...          1\n",
              "1  Any insights you can offer about the DS job ma...  ...          2\n",
              "2  What's the impact of Covid on hiring for DS ro...  ...          3\n",
              "3  What skills and qualities do employers look fo...  ...          4\n",
              "4       Do employers look for an advanced ML degree?  ...          5\n",
              "5  How does a typical day of a data scientist loo...  ...          6\n",
              "6  Is preparation of algorithms and data structur...  ...          7\n",
              "7  What is the mathematical background required t...  ...          8\n",
              "8  What are the various rounds in a data scientis...  ...          9\n",
              "9  What level of proficiency is needed for a data...  ...         10\n",
              "\n",
              "[10 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4R88GCS-0ReG",
        "outputId": "1d409601-02b3-4157-9563-df43ced5fa78",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Load dataset and rename columns\n",
        "\n",
        "df_test=pd.read_excel(\"FAQ_test_Easy.xlsx\")\n",
        "df_test.columns=[\"questions\",\"ActualCode\",\"PredictedCode\",\"Prediction?\",\"ActualQuestion\",\"PredictedQuestion\"]\n",
        "\n",
        "df_test"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>ActualCode</th>\n",
              "      <th>PredictedCode</th>\n",
              "      <th>Prediction?</th>\n",
              "      <th>ActualQuestion</th>\n",
              "      <th>PredictedQuestion</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>How is the job searching experience nowadays?</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>How is DS hiring impacted due to Covid?</td>\n",
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              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
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              "      <td>In a data scientist what qualifications and at...</td>\n",
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              "      <td>What skills and qualities do employers look fo...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Are employers looking for an advanced ML degree?</td>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>On a typical day what does a data scientist do?</td>\n",
              "      <td>6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Do we need to study algorithms for a data scie...</td>\n",
              "      <td>7</td>\n",
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              "      <td>Is preparation of algorithms and data structur...</td>\n",
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              "      <th>7</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>How many rounds of interview are in a data sc...</td>\n",
              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>How proficient a data scientist has to be in c...</td>\n",
              "      <td>10</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...  PredictedQuestion\n",
              "0      How is the job searching experience nowadays?  ...                NaN\n",
              "1         How are the DS jobs on the market, please?  ...                NaN\n",
              "2            How is DS hiring impacted due to Covid?  ...                NaN\n",
              "3  In a data scientist what qualifications and at...  ...                NaN\n",
              "4   Are employers looking for an advanced ML degree?  ...                NaN\n",
              "5    On a typical day what does a data scientist do?  ...                NaN\n",
              "6  Do we need to study algorithms for a data scie...  ...                NaN\n",
              "7  What is the mathematical background needed to ...  ...                NaN\n",
              "8   How many rounds of interview are in a data sc...  ...                NaN\n",
              "9  How proficient a data scientist has to be in c...  ...                NaN\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WYnGtAPGzvWL"
      },
      "source": [
        "##Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tJt7aid2zvWM",
        "outputId": "08828e2b-a327-4a5b-ff14-03ed2fcd70d9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "\n",
        "def clean_sentence(sentence, stopwords=False):\n",
        "    \n",
        "    sentence = sentence.lower().strip()\n",
        "    sentence = re.sub(r'[^a-z0-9\\s]', '', sentence)\n",
        "\n",
        "    \n",
        "    if stopwords:\n",
        "         sentence = remove_stopwords(sentence)\n",
        "    \n",
        "    \n",
        "    return sentence\n",
        "                    \n",
        "def get_cleaned_sentences(tf,stopwords=False):    \n",
        "    sents=tf[[\"questions\"]];\n",
        "    cleaned_sentences=[]\n",
        "\n",
        "    for index,row in tf.iterrows():\n",
        "        #print(index,row)\n",
        "        cleaned=clean_sentence(row[\"questions\"],stopwords);\n",
        "        cleaned_sentences.append(cleaned);\n",
        "    return cleaned_sentences;\n",
        "\n",
        "cleaned_sentences=get_cleaned_sentences(df,stopwords=True)\n",
        "print(cleaned_sentences);\n",
        "\n",
        "print(\"\\n\")\n",
        "\n",
        "cleaned_sentences_with_stopwords=get_cleaned_sentences(df,stopwords=False)\n",
        "print(cleaned_sentences_with_stopwords);"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['job hunting experience look like', 'insights offer ds job market', 'whats impact covid hiring ds roles', 'skills qualities employers look data scientist', 'employers look advanced ml degree', 'typical day data scientist look like', 'preparation algorithms data structures needed data science interview', 'mathematical background required data scientist', 'rounds data scientist interview', 'level proficiency needed data scientist coding']\n",
            "\n",
            "\n",
            "['what does the job hunting experience look like ', 'any insights you can offer about the ds job market ', 'whats the impact of covid on hiring for ds roles', 'what skills and qualities do employers look for in a data scientist', 'do employers look for an advanced ml degree', 'how does a typical day of a data scientist look like', 'is preparation of algorithms and data structures needed for a data science interview ', 'what is the mathematical background required to be a data scientist ', 'what are the various rounds in a data scientist interview ', 'what level of proficiency is needed for a data scientist in coding']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KiYRIGu9zvWO",
        "outputId": "46e57973-d6d9-4382-9652-1e1d141c0e69",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(cleaned_sentences_with_stopwords[0]);"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "what does the job hunting experience look like \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "As-8_00HzvWQ"
      },
      "source": [
        "##Word2Vec-Skipgram Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QJd97SSMzvWQ",
        "outputId": "761bc68d-136e-48bf-fe5f-c07676a86898",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "    \n",
        "v2w_model=None;\n",
        "try:\n",
        "    v2w_model = gensim.models.KeyedVectors.load(\"w2vecmodel.mod\")\n",
        "    print(\"Loaded w2v model\")\n",
        "except:            \n",
        "    v2w_model = api.load('word2vec-google-news-300')\n",
        "    v2w_model.save(\"w2vecmodel.mod\")\n",
        "    print(\"Saved w2v model\")\n",
        "\n",
        "w2vec_embedding_size=len(v2w_model['computer']);"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded w2v model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qF26zdNAzvWV",
        "outputId": "10e53d4b-322f-4d41-f829-2571ecb79cb0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#question_orig=\"What does a data scientist usually do ?\"\n",
        "#question_orig=input()\n",
        "#question=clean_sentence(question_orig,stopwords=False);\n",
        "cleaned_sentences_test=get_cleaned_sentences(df_test,stopwords=False)\n",
        "print(cleaned_sentences_test);"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['how is the job searching experience nowadays', 'how are the ds jobs on the market please', 'how is ds hiring impacted due to covid', 'in a data scientist what qualifications and attributes do employers look for', 'are employers looking for an advanced ml degree', 'on a typical day what does a data scientist do', 'do we need to study algorithms for a data science interview', 'what is the mathematical background needed to be a data scientist ', 'how many rounds of interview are in a data science interview ', 'how proficient a data scientist has to be in coding']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SUNISgKYzvWS"
      },
      "source": [
        "def getWordVec(word,model):\n",
        "        samp=model['computer'];\n",
        "        vec=[0]*len(samp);\n",
        "        try:\n",
        "                vec=model[word];\n",
        "        except:\n",
        "                vec=[0]*len(samp);\n",
        "        return (vec)\n",
        "\n",
        "\n",
        "def getPhraseEmbedding(phrase,embeddingmodel):\n",
        "                       \n",
        "        samp=getWordVec('computer', embeddingmodel);\n",
        "        vec=numpy.array([0]*len(samp));\n",
        "        den=0;\n",
        "        for word in phrase.split():\n",
        "            #print(word)\n",
        "            den=den+1;\n",
        "            vec=vec+numpy.array(getWordVec(word,embeddingmodel));\n",
        "        #vec=vec/den;\n",
        "        #return (vec.tolist());\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mcAo9vJT80_Y"
      },
      "source": [
        "#With w2Vec for original question dataset\n",
        "import numpy\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,v2w_model));"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LwCPa1iM92k2"
      },
      "source": [
        "#With w2Vec for test question dataset\n",
        "import numpy\n",
        "sent_embeddings_test=[];\n",
        "for sent_test in cleaned_sentences_test:\n",
        "    sent_embeddings_test.append(getPhraseEmbedding(sent_test,v2w_model));"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "czRpjKFj_35p",
        "outputId": "24e5ec6a-aafb-4493-e83f-3dcdbb9e6477",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import sklearn\n",
        "from sklearn.metrics.pairwise import cosine_similarity;\n",
        "def retrieveAndPrintFAQAnswer(question_embeddings_test,sentence_embeddings,FAQdf,sentences,FAQdf_test,sentences_test):\n",
        "  for index_test,faq_embedding_test in enumerate(question_embeddings_test):\n",
        "    max_sim=-1;\n",
        "    index_sim=-1;\n",
        "    for index,faq_embedding in enumerate(sentence_embeddings):\n",
        "        \n",
        "      sim=cosine_similarity(faq_embedding,faq_embedding_test)[0][0];\n",
        "      #print(index, sim, sentences[index])\n",
        "      if sim>max_sim:\n",
        "        max_sim=sim;\n",
        "        index_sim=index;\n",
        "\n",
        "    FAQdf_test.iloc[index_test,2]=FAQdf.iloc[index_sim,2]\n",
        "    FAQdf_test.iloc[index_test,5]=FAQdf.iloc[index_sim,0]\n",
        "    print(\"\\n\")\n",
        "    print(\"Question: \",sentences_test[index_test])\n",
        "    print(\"\\n\");\n",
        "    print(\"Retrieved: \",FAQdf.iloc[index_sim,0]) \n",
        "    print(\"Answer:\",FAQdf.iloc[index_sim,1])        \n",
        "  df_test=FAQdf_test \n",
        "retrieveAndPrintFAQAnswer(sent_embeddings_test,sent_embeddings,df,cleaned_sentences,df_test,cleaned_sentences_test);"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "Question:  how is the job searching experience nowadays\n",
            "\n",
            "\n",
            "Retrieved:  What does the job hunting experience look like ?\n",
            "Answer: Job hunting experience involves networking to get in touch with the right people in various companies, applying to lots of jobs through various channels, preparing for interviews – while interviews are uncertain it is necessary to prepare well what you CAN prepare, smart scheduling of interviews to get the best job and salary you can.\n",
            "\n",
            "\n",
            "Question:  how are the ds jobs on the market please\n",
            "\n",
            "\n",
            "Retrieved:  Any insights you can offer about the DS job market ?\n",
            "Answer: There are many kinds of roles, data scientist, analyst, data engineer and so on. There are many levels of companies. In smaller companies the roles are usually combined into one while in larger companies there are more nuanced roles. Since more and more companies are just getting started on their data journey, the overall demand is expected to increase in the next few years.\n",
            "\n",
            "\n",
            "Question:  how is ds hiring impacted due to covid\n",
            "\n",
            "\n",
            "Retrieved:  What's the impact of Covid on hiring for DS roles?\n",
            "Answer: Hiring is going to slow down. First in small companies then eventually in enterprises in a couple of months. But it is likely to pick up in a few months. Hence, if you are looking to transition, this is a good time to ramp up skills and learn new things that might usually take some time.\n",
            "\n",
            "\n",
            "Question:  in a data scientist what qualifications and attributes do employers look for\n",
            "\n",
            "\n",
            "Retrieved:  What skills and qualities do employers look for in a data scientist?\n",
            "Answer: The following are some skills employers usually look for: \n",
            "\n",
            "(1) Should be good at coding \n",
            "(2) Should have good problem solving and analysis skills \n",
            "(3) Should be good with stats and building testing and deploying models. \n",
            "\n",
            "A data scientist is a software developer ++ with stats and modeling skills to build and deploy models and make inferences from data.\n",
            "\n",
            "\n",
            "Question:  are employers looking for an advanced ml degree\n",
            "\n",
            "\n",
            "Retrieved:  Do employers look for an advanced ML degree?\n",
            "Answer: For more senior roles: People typically look for practical experience for several years or a specialized degree with some experience. Employers typically want folks who have seen various kinds of ML problems and solved them, who can come up with the right solution for a new problem when they are looking for a more senior role.   \n",
            "\n",
            "For a beginner role: a degree usually adds some level of credibility, but if one has a good portfolio with good projects, it is usually an accepted substitute. Employers do hope to see if the candidate is comfortable with basic concepts in ML along with being able to write code.\n",
            "\n",
            "\n",
            "Question:  on a typical day what does a data scientist do\n",
            "\n",
            "\n",
            "Retrieved:  How does a typical day of a data scientist look like?\n",
            "Answer: Here are some tasks in the typical day of a data scientist:\n",
            "\n",
            "Make a plan for the day\n",
            "Look at data, what clean up is required, figure out what models can be built\n",
            "Talk to various stakeholders about what modeling is possible and help them narrow down to something useful for the business\n",
            "Build models, test and debug (takes a long time)\n",
            "Parameter tuning – test tons and tons of parameters (takes a long time)\n",
            "Come up with prod architecture to get deployment ready\n",
            "Write ML pipeline for production ready modeles – deploy them\n",
            "Wait for long time till we have a significant sample to see if they are working\n",
            "Analyze and see whether the models are working as expected, have any impact\n",
            "Come up with improvements/ corrections based on prod feedback and prepare for next iteration.\n",
            "Meeting with team members / daily sprints / bug triages based on production feedback – Interaction with ML Manager, Product Manager, Developers, Data engineers\n",
            "\n",
            "\n",
            "Question:  do we need to study algorithms for a data science interview\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n",
            "\n",
            "\n",
            "Question:  what is the mathematical background needed to be a data scientist \n",
            "\n",
            "\n",
            "Retrieved:  What is the mathematical background required to be a data scientist ?\n",
            "Answer: The following three are the basic building blocks in terms of data science math background: Linear Algebra, Probability and Statistics and Calculus and optimization.\n",
            "\n",
            "\n",
            "Question:  how many rounds of interview are in a data science interview \n",
            "\n",
            "\n",
            "Retrieved:  What are the various rounds in a data scientist interview ?\n",
            "Answer: Usually the data science interview has a subset of these rounds.\n",
            "\n",
            "Resume deep dive\n",
            "ML Concepts\n",
            "ML Scenario and Problem solving\n",
            "Algorithms and data structures\n",
            "Coding\n",
            "Behavioural\n",
            "\n",
            "Sometimes, some of these rounds might be combined, for instance there might not be two separate rounds for coding and algorithms. Similarly there might be a single round for ML concepts and scenario based problem solving.\n",
            "\n",
            "\n",
            "Question:  how proficient a data scientist has to be in coding\n",
            "\n",
            "\n",
            "Retrieved:  What level of proficiency is needed for a data scientist in coding?\n",
            "Answer: Needs to be reasonably proficient. Again, a data scientist is a developer ++. Usually expected to have the basic skills a developer has including understanding algorithms and data structures and being able to write clean, understable, efficient, well documented code.\n",
            "\n",
            "In many cases, the data scientist is expected to write production ready code and be able to understand the deployment process. In some cases, the coding could be for decision support.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J-Y59iBfAQcn",
        "outputId": "ac3a2721-60a5-40cd-8b2c-8dbbb2d93761",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "df_test"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>questions</th>\n",
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              "      <th>Prediction?</th>\n",
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              "      <th>PredictedQuestion</th>\n",
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              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0      How is the job searching experience nowadays?  ...   What does the job hunting experience look like ?\n",
              "1         How are the DS jobs on the market, please?  ...  Any insights you can offer about the DS job ma...\n",
              "2            How is DS hiring impacted due to Covid?  ...  What's the impact of Covid on hiring for DS ro...\n",
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              "4   Are employers looking for an advanced ML degree?  ...       Do employers look for an advanced ML degree?\n",
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              "6  Do we need to study algorithms for a data scie...  ...  Is preparation of algorithms and data structur...\n",
              "7  What is the mathematical background needed to ...  ...  What is the mathematical background required t...\n",
              "8   How many rounds of interview are in a data sc...  ...  What are the various rounds in a data scientis...\n",
              "9  How proficient a data scientist has to be in c...  ...  What level of proficiency is needed for a data...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I0d5jdxhBPsv",
        "outputId": "0785af6f-bedf-4849-9400-fec19799668d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "for i in range(df_test.shape[0]):\n",
        " if df_test.iloc[i,1]!=df_test.iloc[i,2]:\n",
        "   df_test.iloc[i,3]='InCorrect'\n",
        " else:\n",
        "   df_test.iloc[i,3]='correct'\n",
        "df_test"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>correct</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>On a typical day what does a data scientist do?</td>\n",
              "      <td>6</td>\n",
              "      <td>6.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Do we need to study algorithms for a data scie...</td>\n",
              "      <td>7</td>\n",
              "      <td>7.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>What is the mathematical background needed to ...</td>\n",
              "      <td>8</td>\n",
              "      <td>8.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>How many rounds of interview are in a data sc...</td>\n",
              "      <td>9</td>\n",
              "      <td>9.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>How proficient a data scientist has to be in c...</td>\n",
              "      <td>10</td>\n",
              "      <td>10.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0      How is the job searching experience nowadays?  ...   What does the job hunting experience look like ?\n",
              "1         How are the DS jobs on the market, please?  ...  Any insights you can offer about the DS job ma...\n",
              "2            How is DS hiring impacted due to Covid?  ...  What's the impact of Covid on hiring for DS ro...\n",
              "3  In a data scientist what qualifications and at...  ...  What skills and qualities do employers look fo...\n",
              "4   Are employers looking for an advanced ML degree?  ...       Do employers look for an advanced ML degree?\n",
              "5    On a typical day what does a data scientist do?  ...  How does a typical day of a data scientist loo...\n",
              "6  Do we need to study algorithms for a data scie...  ...  Is preparation of algorithms and data structur...\n",
              "7  What is the mathematical background needed to ...  ...  What is the mathematical background required t...\n",
              "8   How many rounds of interview are in a data sc...  ...  What are the various rounds in a data scientis...\n",
              "9  How proficient a data scientist has to be in c...  ...  What level of proficiency is needed for a data...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XYmWMFJ6BfV9"
      },
      "source": [
        "list_data_answers=df_test.ActualCode.values.tolist()\n",
        "list_data_FoundCode=df_test.PredictedCode.values.tolist()"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X4RAC3NaBh_Z",
        "outputId": "df9f9c5d-ecca-423f-a325-652d61a86011",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from sklearn.metrics import multilabel_confusion_matrix\n",
        "from sklearn import metrics\n",
        "multilabel_confusion_matrix(list_data_answers, list_data_FoundCode)\n",
        "#tn, fp, fn, tp = confusion_matrix([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [1.0, 2.0, 2.0, 10.0, 4.0, 1.0, 2.0, 1.0, 2.0, 2.0]).ravel()\n",
        "#print(metrics.classification_report(list_data_answers, list_data_FoundCode))"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G9eRPsLpBkTp"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from mlxtend.evaluate import confusion_matrix\n",
        "\n",
        "\n",
        "cm = confusion_matrix(list_data_answers, list_data_FoundCode, binary=False)"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zrAkUo-TBmSF",
        "outputId": "76dae094-3863-48b7-8fbe-a6311477f3ab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from mlxtend.evaluate import confusion_matrix\n",
        "from mlxtend.plotting import plot_confusion_matrix\n",
        "\n",
        "import pprint\n",
        "#creating confusion matrix\n",
        "fig, ax = plot_confusion_matrix(conf_mat=cm)\n",
        "plt.show()"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQMAAAEGCAYAAABhHPB4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAUIklEQVR4nO3de7RcdXnG8e9DYiqBCNTEdpFAE+4GlxI5WBTrUqBUBMG6tILaFlHTIgp4R6uiVRdaqNWqVRC8rIqgBKxKEazWawohh0SuAY1cE2JJUDELrSHh7R/zOzIk58yZnJnf2fMmz2etLM7M2efd79krvNl7Zv+eUURgZrZD0w2Y2WDwMDAzwMPAzAoPAzMDPAzMrJjadAPtNHXH0LQZfa+74Ml79r2mWUZ3330X69at02jfG6xhMG0Gf7D/X/W97uIln+h7TbOMDvvToTG/58sEMwM8DMys8DAwM8DDwMwKDwMzA5INg0+f9Qru/s7ZDF/6zr7X/tbVV/HUA/fnwAP24Zx/+tDA1nTdejW397pVh4Gk50u6XdJKSWf2Wu/fv3Etx5/6yX609hibNm3ijNNO5Wvf+CbLb7yVSy+5mBW33jpwNV03X6+Z6lYbBpKmAJ8EjgbmAydKmt9LzcXLfsYvHvxNP9p7jKXXXcfee+/DvL32Ytq0abz0ZSdwxTe+NnA1XTdfr5nq1jwzeAawMiLuiIgNwCXA8RX3N2H33beaOXP2+P3j2bPnsHr16oGr6br1arpu3WEwG7i37fGq8txjSFooaVjScGz8bcV2zKyTxl9AjIjzI2IoIoY0dcdGeth999msWvXo3Fq9ehWzZ28xtxqv6br1arpu3WGwGtij7fGc8tzAGTrkEFau/Cl33XknGzZs4NIvX8Ixxx43cDVdN1+vmerWXKi0FNhX0jxaQ+AE4OW9FPzC2SfxZwfvy8xdd2blVe/n/Z++ki/8xzU9Nzp16lT+5WOf4IXH/AWbNm3ib086mfkHHjhwNV03X6+Z6qpmIKqkFwAfBaYAn42ID3bafofpT4oaqxZ/udSrFs2gtWrx+uuHJ38Jc0RcCVxZcx9m1h+Nv4BoZoPBw8DMAA8DMys8DMwM8DAws2KgAlEXPHnPKuGlux3y+r7XBL9ladsWnxmYGeBhYGaFh4GZAR4GZlZ4GJgZ4GFgZkW6YVAjZbZW6nKGRNysdTP1mqVuqmFQK2W2RupylkTcjHUz9ZqpbqphUCtltkbqcpZE3Ix1M/WaqW6qYVArZbaGLIm4Getm6jVT3VTDwMzqSTUMaqXM1pAlETdj3Uy9ZqqbahjUSpmtIUsibsa6mXrNVHegVi2Op1bKbI3U5SyJuBnrZuo1U92q6chb6+CDh2LxkuG+1/USZrOWTunIqS4TzKweDwMzAzwMzKzwMDAzwMPAzAoPAzMDkt1nMFG13gKs8Zal3660pvjMwMwADwMzKzwMzAzwMDCzwsPAzAAPAzMr0g2DDCmzI5y6XK9upl6z1K02DCTtIem7km6VdIuk03utmSVldoRTl52OnKluzTODjcCbI2I+cChwqqT5vRTMkjI7wqnLTkfOVLfaMIiINRGxrHy9HlgB9BT8liVltqZsx8DpyHnqTsprBpLmAguAJaN8b6GkYUnDa9etnYx2zGwU1YeBpJ2By4AzIuLXm38/Is6PiKGIGJo1c1bHWllSZmvKdgycjpynbtVhIOlxtAbBRRFxea/1sqTM1pTtGDgdOU/daqsWJQm4EFgRER/pR80sKbMjnLrsdORMdaulI0t6NvBD4CbgkfL0OyPiyrF+plY6ci1ewmzZdEpHrnZmEBE/AkbdqZkNnnR3IJpZHR4GZgZ4GJhZ4WFgZsB2EohaS41X/v25kNYUnxmYGeBhYGaFh4GZAR4GZlZ4GJgZ4GFgZkW6YZAhWLJmTXDQaq2a23vdVMMgS7BkzV7BQauZes1UN9UwyBIsWbNXcNBqpl4z1U01DLIES9aqWZOPreumGgZmVk+qYZAlWLJWzZp8bF031TDIEixZs9dafGxdN9WqxSzBkjV7BQetZuo1U91qgagTkS0QtQYvYbaaOgWiprpMMLN6PAzMDPAwMLPCw8DMAA8DMys8DMwMSHafwfag1luAfsvSxjPmMJC0Hhi5CWHkfckoX0dEPKFyb2Y2icYcBhExYzIbMbNmdfWagaRnS3pV+XqmpHl12zKzyTbuMJB0FvB24B3lqWnAF2s2ZWaTr5szg78EjgMeAoiI+wBfQphtY7oZBhuitZopACTtVLclM2tCN8PgK5LOA3aV9Frg28Bn6rY1tgwpszVr1qpbK3EZfGyz1B13GETEucAi4DJgP+A9EfHxbncgaYqk5ZKumHibLVlSZrP1CnUSl8HHNlPdbu9AvAn4IfCD8vXWOB1YsZU/M6osKbPZeoU6icvgY5upbjfvJrwGuA54MfAS4FpJJ3dTXNIc4Bjgggl32CZLymytmjXr1uJjm6duN7cjvxVYEBEPAEh6IvA/wGe7+NmPAm+jw7sPkhYCCwH22HPPLkqaWQ3dXCY8AKxve7y+PNeRpGOB+yPi+k7bRcT5ETEUEUOzZs7qWDNLymytmjXr1uJjm6fumMNA0pskvQlYCSyR9N5yA9K1wE+6qH0YcJyku4BLgMMl9XSzUpaU2Wy91uRjm6dup8uEkVP7n5U/I7p6hSIi3kG5a1HSc4G3RMQrJ9Dj72VJmc3WK9RJXK7Vb7Zjm6XupKQjtw2DYztt53TkeryE2aBzOvK4LyBKmkXrRcADgcePPB8Rh3fbQER8D/het9ub2eTr5gXEi4DbgHnA+4C7gKUVezKzBnQzDJ4YERcCD0fE9yPiZKDrswIzy6Gb+wweLv9dI+kY4D7gD+u1ZGZN6GYYfEDSLsCbgY8DTwDeWLUrM5t04w6DiBhZYPQg8Ly67ZhZUzoFon6cRwNRtxARp1XpyKpw6rKNp9OZgd/wN9uOdEpH/sJkNmJmzfInKpkZ4GFgZoWHgZkB3SUd7SfpO5JuLo+fKuld9Vszs8nUzZnBZ2gtRX4YICJuBE6o2VQnGVJma9bMVrdW6nKmY5ClbjfDYHpEXLfZcxt72usEZUmZzdZrzbo1UpezHYMsdbsZBusk7c2jH6LyEmDNhPfYgywps9l6rVm3RupytmOQpW43w+BU4DzgAEmrgTOAUya8xx5kSZmtVTNj3RqyHYMsdbtZm3AHcGT5WLUdImL9eD9jZvl0k3T0ns0eAxAR/1ippzFlSZmtVTNj3RqyHYMsdbu5THio7c8m4Ghg7oT32IMsKbPZeq1Zt4ZsxyBL3W4uE/65/bGkc4GrJ7zHHmRJmc3Wa826NVKXsx2DLHW3Oh1Z0m7A0ojYZ8J7HYPTkfPxEuZcek1HvolHcw2mALOASX+9wMzq6ib2rP2zDjYC/xsRjdx0ZGb1dBwGkqYAV0fEAZPUj5k1pOO7CRGxCbhdkj8e2Wwb181lwm7ALZKuo/X2IgARMZjvO5nZhHQzDN5dvQsza1w3w+AFEfH29ickfRj4fp2WLBOnLm87urkD8c9Hee7ofjdiZs3q9LkJpwCvA/aSdGPbt2YAi2s3ZmaTq9NlwpeAbwJnA2e2Pb8+In5RtSszm3SdPjfhQVofqXbi5LVjZk1xOrKZAR4GZlakGwYZUmZr1nTdFqcu979u1WEgaVdJiyTdJmmFpGf2Ui9Lymy2XjPWdepyM+nIvfgYcFVZ6PQ0YEUvxbKkzGbrNWNdpy43k448IZJ2AZ4DXAgQERsi4le91MySMlurpuvWle0Y9LtuzTODecBa4HOSlku6oCQsP4akhZKGJQ2vXbe2Yjtm1knNYTAVeDrwqYhYQGvF45mbbxQR50fEUEQMzZo5q2PBLCmztWq6bl3ZjkET6cgTtQpYFRFLyuNFtIbDhGVJmc3Wa8a6NWQ7BpOejjxREfFzSfdK2j8ibgeOAHp6CTVLymy2XjPWderyAKQjb1Vx6SDgAmAacAfwqoj45VjbOx3ZRngJcx09pSP3IiJ+DAzV3IeZ9Ue6OxDNrA4PAzMDPAzMrPAwMDPAw8DMiqrvJphNVKbU5W3l7UqfGZgZ4GFgZoWHgZkBHgZmVngYmBmQcBhkCJasWdN169WE7TtoNdUwyBIsma3XbHVr9Qrbd9BqqmGQJVgyW6/Z6tbqFbbvoNVUwyBLsGStmq5br2ZNWY5tqmFgZvWkGgZZgiVr1XTdejVrynJsUw2DLMGS2XrNVjdTyCrkObapFiplCZbM1mu2urV6he07aLVqIOrWciCq1ba9r1rsFIia6jLBzOrxMDAzwMPAzAoPAzMDPAzMrPAwMDMg2X0GZr2q8TbgtvK5kD4zMDPAw8DMCg8DMwM8DMys8DAwM8DDwMyKdMMgQ8pszZquW69mrbq1EpchUTqypDdKukXSzZIulvT4XuplSZnN1mu2upl6hTqJy5AoHVnSbOA0YCgingJMAU7opWaWlNlsvWarm6lXqJO4DPnSkacCO0qaCkwH7uulWJaU2Vo1XbdezZp1a0mTjhwRq4FzgXuANcCDEfGtzbeTtFDSsKThtevW1mrHzMZR8zJhN+B4YB6wO7CTpFduvl1EnB8RQxExNGvmrI41s6TM1qrpuvVq1qxbS6Z05COBOyNibUQ8DFwOPKuXgllSZrP1mq1upl5rypSOfA9wqKTpwG+BI4Ce0k6zpMxm6zVb3Uy9Qp3E5Rr9Vk1HlvQ+4GXARmA58JqI+N1Y2zsd2TLKtIS5Uzpy1TyDiDgLOKvmPsysP9LdgWhmdXgYmBngYWBmhYeBmQEeBmZWOB3ZrEe1UoxrvGX5u9vvGfN7PjMwM8DDwMwKDwMzAzwMzKzwMDAzwMPAzIp0wyBTKm6mXrPVzdRrrbr9Tl1ONQwypeJm6jVb3Uy91qzb79TlVMMgUypupl6z1c3Ua826/U5dTjUMMqXiZuo1W91Mvdas22+phoGZ1ZNqGGRKxc3Ua7a6mXqtWbffUg2DTKm4mXrNVjdTrzXr9luqVYuZUnEz9ZqtbqZea9btd+py1XTkreV0ZLNH1VnC/BUe+c39o6Yjp7pMMLN6PAzMDPAwMLPCw8DMAA8DMys8DMwMGLC3FiWtBe7uYtOZwLrK7fRTpn4z9Qq5+h2EXv8kImaN9o2BGgbdkjQcEUNN99GtTP1m6hVy9TvovfoywcwADwMzK7IOg/ObbmArZeo3U6+Qq9+B7jXlawZm1n9ZzwzMrM88DMwMSDgMJD1f0u2SVko6s+l+xiJpD0nflXSrpFsknd50T92QNEXScklXNN1LJ5J2lbRI0m2SVkh6ZtM9dSLpjeXvwc2SLpb0+KZ72lyqYSBpCvBJ4GhgPnCipPnNdjWmjcCbI2I+cChw6gD32u50YEXTTXThY8BVEXEA8DQGuGdJs4HTgKGIeAowBTih2a62lGoYAM8AVkbEHRGxAbgEOL7hnkYVEWsiYln5ej2tv6yDF3zXRtIc4BjggqZ76UTSLsBzgAsBImJDRPyq2a7GNRXYUdJUYDpwX8P9bCHbMJgN3Nv2eBUD/j8YgKS5wAJgSbOdjOujwNuAR5puZBzzgLXA58olzQWSdmq6qbFExGrgXOAeYA3wYER8q9mutpRtGKQjaWfgMuCMiPh10/2MRdKxwP0RcX3TvXRhKvB04FMRsQB4CBjk1492o3UGOw/YHdhJ0iub7WpL2YbBamCPtsdzynMDSdLjaA2CiyLi8qb7GcdhwHGS7qJ1+XW4pC8229KYVgGrImLkTGsRreEwqI4E7oyItRHxMHA58KyGe9pCtmGwFNhX0jxJ02i9CPP1hnsalSTRuqZdEREfabqf8UTEOyJiTkTMpXVc/zsiBu5fL4CI+Dlwr6T9y1NHAL1/eGE99wCHSppe/l4cwQC+4JkqKj0iNkp6PXA1rVdkPxsRtzTc1lgOA/4auEnSj8tz74yIKxvsaVvyBuCi8o/CHcCrGu5nTBGxRNIiYBmtd5mWM4C3Jvt2ZDMD8l0mmFklHgZmBngYmFnhYWBmgIeBmRUeBtspSc8dWZko6bhOK0DLCsHXTWAf75X0lm6f32ybz0t6yVbsa66km7e2R3uUh8E2pqzs3CoR8fWI+FCHTXYFtnoYWC4eBkmUf/luk3RRWb+/SNL08r27JH1Y0jLgpZKOknSNpGWSLi3rI0ayIG4r2724rfZJkj5Rvv4jSV+VdEP58yzgQ8Dekn4s6Zyy3VslLZV0o6T3tdX6B0k/kfQjYH/GIem1pc4Nki4b+Z2KIyUNl3rHlu2nSDqnbd9/1+uxtRYPg1z2B/4tIp4M/JrH/mv9QEQ8Hfg28C7gyPJ4GHhTCdP4DPBC4GDgj8fYx78C34+Ip9G63/8WWouAfhYRB0XEWyUdBexLa0n5QcDBkp4j6WBatzIfBLwAOKSL3+nyiDik7G8F8Oq2780t+zgG+HT5HV5Na9XfIaX+ayXN62I/No5UtyMb90bE4vL1F2kFZpxbHn+5/PdQWsEvi1u3wTMNuAY4gNZimZ8ClEVIC0fZx+HA3wBExCbgwbLqrt1R5c/y8nhnWsNhBvDViPhN2Uc360aeIukDtC5FdqZ1q/mIr0TEI8BPJd1RfoejgKe2vZ6wS9n3T7rYl3XgYZDL5veOtz9+qPxXwH9FxIntG0o6qI99CDg7Is7bbB9nTKDW54EXRcQNkk4Cntv2vdF+XwFviIj2oTGSGWE98GVCLnu2Zf29HPjRKNtcCxwmaR8ASTtJ2g+4DZgrae+y3Ymj/CzAd4BTys9OKalC62n9qz/iauDkttciZkt6EvAD4EWSdpQ0g9YlyXhmAGvKcu9XbPa9l0raofS8F3B72fcpZXsk7TfIwSaZeBjkcjutLMUVwG7ApzbfICLWAicBF0u6kXKJEBH/R+uy4D/LC4j3j7GP04HnSboJuB6YHxEP0LrsuFnSOSWl50vANWW7RcCMEvP2ZeAG4Ju0lpyP5920EqAW0xpY7e4Briu1/r78DhfQWq68rLyVeB4+w+0Lr1pMopwGX1ECNc36zmcGZgb4zMDMCp8ZmBngYWBmhYeBmQEeBmZWeBiYGQD/D1P8onDTZ+BDAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "13LA4OWABoHB",
        "outputId": "e82f77ef-8693-433a-aa17-eb6af60db01f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(metrics.classification_report(list_data_answers, list_data_FoundCode))"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           1       1.00      1.00      1.00         1\n",
            "           2       1.00      1.00      1.00         1\n",
            "           3       1.00      1.00      1.00         1\n",
            "           4       1.00      1.00      1.00         1\n",
            "           5       1.00      1.00      1.00         1\n",
            "           6       1.00      1.00      1.00         1\n",
            "           7       1.00      1.00      1.00         1\n",
            "           8       1.00      1.00      1.00         1\n",
            "           9       1.00      1.00      1.00         1\n",
            "          10       1.00      1.00      1.00         1\n",
            "\n",
            "    accuracy                           1.00        10\n",
            "   macro avg       1.00      1.00      1.00        10\n",
            "weighted avg       1.00      1.00      1.00        10\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e7w-7ET5P8qC"
      },
      "source": [
        ""
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pPZTApbRQJpR"
      },
      "source": [
        "#Dataset3-Medium"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4baDh7D3QJpT"
      },
      "source": [
        "##Import Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4LKXqbNSQJpV",
        "outputId": "3ce937f8-72d4-4117-d1ee-ce842fcb24aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Loading dataset and renaming columns\n",
        "\n",
        "df=pd.read_csv(\"FAQ_standard.csv\");\n",
        "df.columns=[\"questions\",\"answers\",\"AnswerCode\"];\n",
        "\n",
        "df"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>answers</th>\n",
              "      <th>AnswerCode</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>Job hunting experience involves networking to ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
              "      <td>There are many kinds of roles, data scientist,...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
              "      <td>Hiring is going to slow down. First in small c...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>What skills and qualities do employers look fo...</td>\n",
              "      <td>The following are some skills employers usuall...</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>For more senior roles: People typically look f...</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>Here are some tasks in the typical day of a da...</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>Yes. In many data science interviews (ML Scien...</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>The following three are the basic building blo...</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>Usually the data science interview has a subse...</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>Needs to be reasonably proficient. Again, a da...</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ... AnswerCode\n",
              "0   What does the job hunting experience look like ?  ...          1\n",
              "1  Any insights you can offer about the DS job ma...  ...          2\n",
              "2  What's the impact of Covid on hiring for DS ro...  ...          3\n",
              "3  What skills and qualities do employers look fo...  ...          4\n",
              "4       Do employers look for an advanced ML degree?  ...          5\n",
              "5  How does a typical day of a data scientist loo...  ...          6\n",
              "6  Is preparation of algorithms and data structur...  ...          7\n",
              "7  What is the mathematical background required t...  ...          8\n",
              "8  What are the various rounds in a data scientis...  ...          9\n",
              "9  What level of proficiency is needed for a data...  ...         10\n",
              "\n",
              "[10 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F229UBgvQJpg",
        "outputId": "1cec0a7f-6ccb-4676-c487-b72c2735f295",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Load dataset and rename columns\n",
        "\n",
        "df_test=pd.read_excel(\"FAQ_test_Medium.xlsx\")\n",
        "df_test.columns=[\"questions\",\"ActualCode\",\"PredictedCode\",\"Prediction?\",\"ActualQuestion\",\"PredictedQuestion\"]\n",
        "\n",
        "df_test"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>ActualCode</th>\n",
              "      <th>PredictedCode</th>\n",
              "      <th>Prediction?</th>\n",
              "      <th>ActualQuestion</th>\n",
              "      <th>PredictedQuestion</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>How does job searching experience would look?</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Please provide how DS jobs are in the market?</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>How has the Covid impacted DS hiring?</td>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>What skills do employers want from data scienc...</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What skills and qualities do employers look fo...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Is advanced degree in ML required?</td>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>What data scientist do in a typical day?</td>\n",
              "      <td>6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>For an interview in data science are we requir...</td>\n",
              "      <td>7</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Is preparation of algorithms and data structur...</td>\n",
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              "    <tr>\n",
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              "      <td>8</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>How many rounds of interview are required to c...</td>\n",
              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>How much proficient a data scientist should be...</td>\n",
              "      <td>10</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...  PredictedQuestion\n",
              "0      How does job searching experience would look?  ...                NaN\n",
              "1      Please provide how DS jobs are in the market?  ...                NaN\n",
              "2              How has the Covid impacted DS hiring?  ...                NaN\n",
              "3  What skills do employers want from data scienc...  ...                NaN\n",
              "4                 Is advanced degree in ML required?  ...                NaN\n",
              "5           What data scientist do in a typical day?  ...                NaN\n",
              "6  For an interview in data science are we requir...  ...                NaN\n",
              "7  What is the mathematical background required t...  ...                NaN\n",
              "8  How many rounds of interview are required to c...  ...                NaN\n",
              "9  How much proficient a data scientist should be...  ...                NaN\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XYeIwMN4QJpl"
      },
      "source": [
        "##Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4LIFfqlDQJpm",
        "outputId": "9ecdc4f4-fd71-4905-eb46-0a3c353c0f3a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "\n",
        "def clean_sentence(sentence, stopwords=False):\n",
        "    \n",
        "    sentence = sentence.lower().strip()\n",
        "    sentence = re.sub(r'[^a-z0-9\\s]', '', sentence)\n",
        "\n",
        "    \n",
        "    if stopwords:\n",
        "         sentence = remove_stopwords(sentence)\n",
        "    \n",
        "    \n",
        "    return sentence\n",
        "                    \n",
        "def get_cleaned_sentences(tf,stopwords=False):    \n",
        "    sents=tf[[\"questions\"]];\n",
        "    cleaned_sentences=[]\n",
        "\n",
        "    for index,row in tf.iterrows():\n",
        "        #print(index,row)\n",
        "        cleaned=clean_sentence(row[\"questions\"],stopwords);\n",
        "        cleaned_sentences.append(cleaned);\n",
        "    return cleaned_sentences;\n",
        "\n",
        "cleaned_sentences=get_cleaned_sentences(df,stopwords=True)\n",
        "print(cleaned_sentences);\n",
        "\n",
        "print(\"\\n\")\n",
        "\n",
        "cleaned_sentences_with_stopwords=get_cleaned_sentences(df,stopwords=False)\n",
        "print(cleaned_sentences_with_stopwords);"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['job hunting experience look like', 'insights offer ds job market', 'whats impact covid hiring ds roles', 'skills qualities employers look data scientist', 'employers look advanced ml degree', 'typical day data scientist look like', 'preparation algorithms data structures needed data science interview', 'mathematical background required data scientist', 'rounds data scientist interview', 'level proficiency needed data scientist coding']\n",
            "\n",
            "\n",
            "['what does the job hunting experience look like ', 'any insights you can offer about the ds job market ', 'whats the impact of covid on hiring for ds roles', 'what skills and qualities do employers look for in a data scientist', 'do employers look for an advanced ml degree', 'how does a typical day of a data scientist look like', 'is preparation of algorithms and data structures needed for a data science interview ', 'what is the mathematical background required to be a data scientist ', 'what are the various rounds in a data scientist interview ', 'what level of proficiency is needed for a data scientist in coding']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ikV8Le40QJpp",
        "outputId": "0a0bfbd1-91f7-4040-ed19-5e7d97a246f9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(cleaned_sentences_with_stopwords[0]);"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "what does the job hunting experience look like \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n9orh2WxQJps"
      },
      "source": [
        "##Word2Vec-Skipgram Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pg808UxJQJpt",
        "outputId": "a41aad35-4566-4d1e-b3e2-82eaeff824f7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "    \n",
        "v2w_model=None;\n",
        "try:\n",
        "    v2w_model = gensim.models.KeyedVectors.load(\"w2vecmodel.mod\")\n",
        "    print(\"Loaded w2v model\")\n",
        "except:            \n",
        "    v2w_model = api.load('word2vec-google-news-300')\n",
        "    v2w_model.save(\"w2vecmodel.mod\")\n",
        "    print(\"Saved w2v model\")\n",
        "\n",
        "w2vec_embedding_size=len(v2w_model['computer']);"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded w2v model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-43sHF9xQJpx",
        "outputId": "5d2d54d6-d922-4ba0-a2d7-ec64fde6f4a3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#question_orig=\"What does a data scientist usually do ?\"\n",
        "#question_orig=input()\n",
        "#question=clean_sentence(question_orig,stopwords=False);\n",
        "cleaned_sentences_test=get_cleaned_sentences(df_test,stopwords=False)\n",
        "print(cleaned_sentences_test);"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['how does job searching experience would look', 'please provide how ds jobs are in the market', 'how has the covid impacted ds hiring', 'what skills do employers want from data science positions', 'is advanced degree in ml required', 'what data scientist do in a typical day', 'for an interview in data science are we required to study algorithms', 'what is the mathematical background required to be a data scientist ', 'how many rounds of interview are required to clear data scientist interview ', 'how much proficient a data scientist should be in coding']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q9xDEjZwQJp1"
      },
      "source": [
        "def getWordVec(word,model):\n",
        "        samp=model['computer'];\n",
        "        vec=[0]*len(samp);\n",
        "        try:\n",
        "                vec=model[word];\n",
        "        except:\n",
        "                vec=[0]*len(samp);\n",
        "        return (vec)\n",
        "\n",
        "\n",
        "def getPhraseEmbedding(phrase,embeddingmodel):\n",
        "                       \n",
        "        samp=getWordVec('computer', embeddingmodel);\n",
        "        vec=numpy.array([0]*len(samp));\n",
        "        den=0;\n",
        "        for word in phrase.split():\n",
        "            #print(word)\n",
        "            den=den+1;\n",
        "            vec=vec+numpy.array(getWordVec(word,embeddingmodel));\n",
        "        #vec=vec/den;\n",
        "        #return (vec.tolist());\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0CeC8PcwQJp5"
      },
      "source": [
        "#With w2Vec for original question dataset\n",
        "import numpy\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,v2w_model));"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k1aNEMjQQJp9"
      },
      "source": [
        "#With w2Vec for test question dataset\n",
        "import numpy\n",
        "sent_embeddings_test=[];\n",
        "for sent_test in cleaned_sentences_test:\n",
        "    sent_embeddings_test.append(getPhraseEmbedding(sent_test,v2w_model));"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YTfhPwnrQJqB",
        "outputId": "1602b8a7-23a6-4437-d168-6a6256f4fa8e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import sklearn\n",
        "from sklearn.metrics.pairwise import cosine_similarity;\n",
        "def retrieveAndPrintFAQAnswer(question_embeddings_test,sentence_embeddings,FAQdf,sentences,FAQdf_test,sentences_test):\n",
        "  for index_test,faq_embedding_test in enumerate(question_embeddings_test):\n",
        "    max_sim=-1;\n",
        "    index_sim=-1;\n",
        "    for index,faq_embedding in enumerate(sentence_embeddings):\n",
        "        \n",
        "      sim=cosine_similarity(faq_embedding,faq_embedding_test)[0][0];\n",
        "      #print(index, sim, sentences[index])\n",
        "      if sim>max_sim:\n",
        "        max_sim=sim;\n",
        "        index_sim=index;\n",
        "\n",
        "    FAQdf_test.iloc[index_test,2]=FAQdf.iloc[index_sim,2]\n",
        "    FAQdf_test.iloc[index_test,5]=FAQdf.iloc[index_sim,0]\n",
        "    print(\"\\n\")\n",
        "    print(\"Question: \",sentences_test[index_test])\n",
        "    print(\"\\n\");\n",
        "    print(\"Retrieved: \",FAQdf.iloc[index_sim,0]) \n",
        "    print(\"Answer:\",FAQdf.iloc[index_sim,1])        \n",
        "  df_test=FAQdf_test \n",
        "retrieveAndPrintFAQAnswer(sent_embeddings_test,sent_embeddings,df,cleaned_sentences,df_test,cleaned_sentences_test);"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "Question:  how does job searching experience would look\n",
            "\n",
            "\n",
            "Retrieved:  What does the job hunting experience look like ?\n",
            "Answer: Job hunting experience involves networking to get in touch with the right people in various companies, applying to lots of jobs through various channels, preparing for interviews – while interviews are uncertain it is necessary to prepare well what you CAN prepare, smart scheduling of interviews to get the best job and salary you can.\n",
            "\n",
            "\n",
            "Question:  please provide how ds jobs are in the market\n",
            "\n",
            "\n",
            "Retrieved:  Any insights you can offer about the DS job market ?\n",
            "Answer: There are many kinds of roles, data scientist, analyst, data engineer and so on. There are many levels of companies. In smaller companies the roles are usually combined into one while in larger companies there are more nuanced roles. Since more and more companies are just getting started on their data journey, the overall demand is expected to increase in the next few years.\n",
            "\n",
            "\n",
            "Question:  how has the covid impacted ds hiring\n",
            "\n",
            "\n",
            "Retrieved:  What's the impact of Covid on hiring for DS roles?\n",
            "Answer: Hiring is going to slow down. First in small companies then eventually in enterprises in a couple of months. But it is likely to pick up in a few months. Hence, if you are looking to transition, this is a good time to ramp up skills and learn new things that might usually take some time.\n",
            "\n",
            "\n",
            "Question:  what skills do employers want from data science positions\n",
            "\n",
            "\n",
            "Retrieved:  What skills and qualities do employers look for in a data scientist?\n",
            "Answer: The following are some skills employers usually look for: \n",
            "\n",
            "(1) Should be good at coding \n",
            "(2) Should have good problem solving and analysis skills \n",
            "(3) Should be good with stats and building testing and deploying models. \n",
            "\n",
            "A data scientist is a software developer ++ with stats and modeling skills to build and deploy models and make inferences from data.\n",
            "\n",
            "\n",
            "Question:  is advanced degree in ml required\n",
            "\n",
            "\n",
            "Retrieved:  Do employers look for an advanced ML degree?\n",
            "Answer: For more senior roles: People typically look for practical experience for several years or a specialized degree with some experience. Employers typically want folks who have seen various kinds of ML problems and solved them, who can come up with the right solution for a new problem when they are looking for a more senior role.   \n",
            "\n",
            "For a beginner role: a degree usually adds some level of credibility, but if one has a good portfolio with good projects, it is usually an accepted substitute. Employers do hope to see if the candidate is comfortable with basic concepts in ML along with being able to write code.\n",
            "\n",
            "\n",
            "Question:  what data scientist do in a typical day\n",
            "\n",
            "\n",
            "Retrieved:  How does a typical day of a data scientist look like?\n",
            "Answer: Here are some tasks in the typical day of a data scientist:\n",
            "\n",
            "Make a plan for the day\n",
            "Look at data, what clean up is required, figure out what models can be built\n",
            "Talk to various stakeholders about what modeling is possible and help them narrow down to something useful for the business\n",
            "Build models, test and debug (takes a long time)\n",
            "Parameter tuning – test tons and tons of parameters (takes a long time)\n",
            "Come up with prod architecture to get deployment ready\n",
            "Write ML pipeline for production ready modeles – deploy them\n",
            "Wait for long time till we have a significant sample to see if they are working\n",
            "Analyze and see whether the models are working as expected, have any impact\n",
            "Come up with improvements/ corrections based on prod feedback and prepare for next iteration.\n",
            "Meeting with team members / daily sprints / bug triages based on production feedback – Interaction with ML Manager, Product Manager, Developers, Data engineers\n",
            "\n",
            "\n",
            "Question:  for an interview in data science are we required to study algorithms\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n",
            "\n",
            "\n",
            "Question:  what is the mathematical background required to be a data scientist \n",
            "\n",
            "\n",
            "Retrieved:  What is the mathematical background required to be a data scientist ?\n",
            "Answer: The following three are the basic building blocks in terms of data science math background: Linear Algebra, Probability and Statistics and Calculus and optimization.\n",
            "\n",
            "\n",
            "Question:  how many rounds of interview are required to clear data scientist interview \n",
            "\n",
            "\n",
            "Retrieved:  What are the various rounds in a data scientist interview ?\n",
            "Answer: Usually the data science interview has a subset of these rounds.\n",
            "\n",
            "Resume deep dive\n",
            "ML Concepts\n",
            "ML Scenario and Problem solving\n",
            "Algorithms and data structures\n",
            "Coding\n",
            "Behavioural\n",
            "\n",
            "Sometimes, some of these rounds might be combined, for instance there might not be two separate rounds for coding and algorithms. Similarly there might be a single round for ML concepts and scenario based problem solving.\n",
            "\n",
            "\n",
            "Question:  how much proficient a data scientist should be in coding\n",
            "\n",
            "\n",
            "Retrieved:  What level of proficiency is needed for a data scientist in coding?\n",
            "Answer: Needs to be reasonably proficient. Again, a data scientist is a developer ++. Usually expected to have the basic skills a developer has including understanding algorithms and data structures and being able to write clean, understable, efficient, well documented code.\n",
            "\n",
            "In many cases, the data scientist is expected to write production ready code and be able to understand the deployment process. In some cases, the coding could be for decision support.\n"
          ],
          "name": "stdout"
        }
      ]
    },
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      "metadata": {
        "id": "tiCHtq2jQJqH",
        "outputId": "30d4e61b-bbee-401b-ae71-1dfece8407d0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "df_test"
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      "execution_count": 38,
      "outputs": [
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            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
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              "1      Please provide how DS jobs are in the market?  ...  Any insights you can offer about the DS job ma...\n",
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              "3  What skills do employers want from data scienc...  ...  What skills and qualities do employers look fo...\n",
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              "6  For an interview in data science are we requir...  ...  Is preparation of algorithms and data structur...\n",
              "7  What is the mathematical background required t...  ...  What is the mathematical background required t...\n",
              "8  How many rounds of interview are required to c...  ...  What are the various rounds in a data scientis...\n",
              "9  How much proficient a data scientist should be...  ...  What level of proficiency is needed for a data...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZmURoq-zQJqL",
        "outputId": "348f0f9c-277d-4f22-8356-87416bdead00",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "for i in range(df_test.shape[0]):\n",
        " if df_test.iloc[i,1]!=df_test.iloc[i,2]:\n",
        "   df_test.iloc[i,3]='InCorrect'\n",
        " else:\n",
        "   df_test.iloc[i,3]='correct'\n",
        "df_test"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0      How does job searching experience would look?  ...   What does the job hunting experience look like ?\n",
              "1      Please provide how DS jobs are in the market?  ...  Any insights you can offer about the DS job ma...\n",
              "2              How has the Covid impacted DS hiring?  ...  What's the impact of Covid on hiring for DS ro...\n",
              "3  What skills do employers want from data scienc...  ...  What skills and qualities do employers look fo...\n",
              "4                 Is advanced degree in ML required?  ...       Do employers look for an advanced ML degree?\n",
              "5           What data scientist do in a typical day?  ...  How does a typical day of a data scientist loo...\n",
              "6  For an interview in data science are we requir...  ...  Is preparation of algorithms and data structur...\n",
              "7  What is the mathematical background required t...  ...  What is the mathematical background required t...\n",
              "8  How many rounds of interview are required to c...  ...  What are the various rounds in a data scientis...\n",
              "9  How much proficient a data scientist should be...  ...  What level of proficiency is needed for a data...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aTh_HQNmQJqQ"
      },
      "source": [
        "list_data_answers=df_test.ActualCode.values.tolist()\n",
        "list_data_FoundCode=df_test.PredictedCode.values.tolist()"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9gxJtATdQJqT",
        "outputId": "ad107652-8e57-4ea2-ebe7-26bf197ceb5d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from sklearn.metrics import multilabel_confusion_matrix\n",
        "from sklearn import metrics\n",
        "multilabel_confusion_matrix(list_data_answers, list_data_FoundCode)\n",
        "#tn, fp, fn, tp = confusion_matrix([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [1.0, 2.0, 2.0, 10.0, 4.0, 1.0, 2.0, 1.0, 2.0, 2.0]).ravel()\n",
        "#print(metrics.classification_report(list_data_answers, list_data_FoundCode))"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6fuqQ01KQJqW"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from mlxtend.evaluate import confusion_matrix\n",
        "\n",
        "\n",
        "cm = confusion_matrix(list_data_answers, list_data_FoundCode, binary=False)"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jsB3HRjHQJqZ",
        "outputId": "3743ddad-14b3-41dc-8d23-a3e5983e80a5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from mlxtend.evaluate import confusion_matrix\n",
        "from mlxtend.plotting import plot_confusion_matrix\n",
        "\n",
        "import pprint\n",
        "#creating confusion matrix\n",
        "fig, ax = plot_confusion_matrix(conf_mat=cm)\n",
        "plt.show()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PCU9kbSZQJqd",
        "outputId": "c4a08081-46ba-4cb6-f5f9-6d37ec59057c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(metrics.classification_report(list_data_answers, list_data_FoundCode))"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           1       1.00      1.00      1.00         1\n",
            "           2       1.00      1.00      1.00         1\n",
            "           3       1.00      1.00      1.00         1\n",
            "           4       1.00      1.00      1.00         1\n",
            "           5       1.00      1.00      1.00         1\n",
            "           6       1.00      1.00      1.00         1\n",
            "           7       1.00      1.00      1.00         1\n",
            "           8       1.00      1.00      1.00         1\n",
            "           9       1.00      1.00      1.00         1\n",
            "          10       1.00      1.00      1.00         1\n",
            "\n",
            "    accuracy                           1.00        10\n",
            "   macro avg       1.00      1.00      1.00        10\n",
            "weighted avg       1.00      1.00      1.00        10\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yd8KEAQrQYeg"
      },
      "source": [
        "#Dataset4-Hard"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qBUf7s7hQYei"
      },
      "source": [
        "##Import Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z7DIc6k3QYej",
        "outputId": "197d28f0-3e63-478f-fba9-4fa4bf7e8d2b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Loading dataset and renaming columns\n",
        "\n",
        "df=pd.read_csv(\"FAQ_standard.csv\");\n",
        "df.columns=[\"questions\",\"answers\",\"AnswerCode\"];\n",
        "\n",
        "df"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>answers</th>\n",
              "      <th>AnswerCode</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>Job hunting experience involves networking to ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
              "      <td>There are many kinds of roles, data scientist,...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
              "      <td>Hiring is going to slow down. First in small c...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>What skills and qualities do employers look fo...</td>\n",
              "      <td>The following are some skills employers usuall...</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>For more senior roles: People typically look f...</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>Here are some tasks in the typical day of a da...</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>Yes. In many data science interviews (ML Scien...</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>The following three are the basic building blo...</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>Usually the data science interview has a subse...</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>Needs to be reasonably proficient. Again, a da...</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ... AnswerCode\n",
              "0   What does the job hunting experience look like ?  ...          1\n",
              "1  Any insights you can offer about the DS job ma...  ...          2\n",
              "2  What's the impact of Covid on hiring for DS ro...  ...          3\n",
              "3  What skills and qualities do employers look fo...  ...          4\n",
              "4       Do employers look for an advanced ML degree?  ...          5\n",
              "5  How does a typical day of a data scientist loo...  ...          6\n",
              "6  Is preparation of algorithms and data structur...  ...          7\n",
              "7  What is the mathematical background required t...  ...          8\n",
              "8  What are the various rounds in a data scientis...  ...          9\n",
              "9  What level of proficiency is needed for a data...  ...         10\n",
              "\n",
              "[10 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3_OoWRzyQYeo",
        "outputId": "41a44d3e-4aa4-4572-cff8-5432053d0223",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd;\n",
        "\n",
        "#Load dataset and rename columns\n",
        "\n",
        "df_test=pd.read_excel(\"FAQ_test_Hard.xlsx\")\n",
        "df_test.columns=[\"questions\",\"ActualCode\",\"PredictedCode\",\"Prediction?\",\"ActualQuestion\",\"PredictedQuestion\"]\n",
        "\n",
        "df_test"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>ActualCode</th>\n",
              "      <th>PredictedCode</th>\n",
              "      <th>Prediction?</th>\n",
              "      <th>ActualQuestion</th>\n",
              "      <th>PredictedQuestion</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>How difficult is it to find a job?</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>Please provide how data science jobs are in th...</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
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              "      <td>How has the Covid impacted job?</td>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>What skills and qualities do employers look fo...</td>\n",
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              "      <th>4</th>\n",
              "      <td>Is advanced knowledge of ML required?</td>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
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              "      <td>6</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>7</td>\n",
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              "      <th>9</th>\n",
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              "      <td>10</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
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              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...  PredictedQuestion\n",
              "0                 How difficult is it to find a job?  ...                NaN\n",
              "1  Please provide how data science jobs are in th...  ...                NaN\n",
              "2                    How has the Covid impacted job?  ...                NaN\n",
              "3  Tell me about the skills required for Data sci...  ...                NaN\n",
              "4              Is advanced knowledge of ML required?  ...                NaN\n",
              "5  What are the tasks performed by a data scienti...  ...                NaN\n",
              "6  How much is data structure important for data ...  ...                NaN\n",
              "7  How much maths knowledge is required to get a ...  ...                NaN\n",
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              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DiMc-I8cQYes"
      },
      "source": [
        "##Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wWBNm9CnQYet",
        "outputId": "dcd40357-3092-4c55-e958-5184ec6aa5d7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "\n",
        "def clean_sentence(sentence, stopwords=False):\n",
        "    \n",
        "    sentence = sentence.lower().strip()\n",
        "    sentence = re.sub(r'[^a-z0-9\\s]', '', sentence)\n",
        "\n",
        "    \n",
        "    if stopwords:\n",
        "         sentence = remove_stopwords(sentence)\n",
        "    \n",
        "    \n",
        "    return sentence\n",
        "                    \n",
        "def get_cleaned_sentences(tf,stopwords=False):    \n",
        "    sents=tf[[\"questions\"]];\n",
        "    cleaned_sentences=[]\n",
        "\n",
        "    for index,row in tf.iterrows():\n",
        "        #print(index,row)\n",
        "        cleaned=clean_sentence(row[\"questions\"],stopwords);\n",
        "        cleaned_sentences.append(cleaned);\n",
        "    return cleaned_sentences;\n",
        "\n",
        "cleaned_sentences=get_cleaned_sentences(df,stopwords=True)\n",
        "print(cleaned_sentences);\n",
        "\n",
        "print(\"\\n\")\n",
        "\n",
        "cleaned_sentences_with_stopwords=get_cleaned_sentences(df,stopwords=False)\n",
        "print(cleaned_sentences_with_stopwords);"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['job hunting experience look like', 'insights offer ds job market', 'whats impact covid hiring ds roles', 'skills qualities employers look data scientist', 'employers look advanced ml degree', 'typical day data scientist look like', 'preparation algorithms data structures needed data science interview', 'mathematical background required data scientist', 'rounds data scientist interview', 'level proficiency needed data scientist coding']\n",
            "\n",
            "\n",
            "['what does the job hunting experience look like ', 'any insights you can offer about the ds job market ', 'whats the impact of covid on hiring for ds roles', 'what skills and qualities do employers look for in a data scientist', 'do employers look for an advanced ml degree', 'how does a typical day of a data scientist look like', 'is preparation of algorithms and data structures needed for a data science interview ', 'what is the mathematical background required to be a data scientist ', 'what are the various rounds in a data scientist interview ', 'what level of proficiency is needed for a data scientist in coding']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YiqImeDKQYez",
        "outputId": "3e31b09d-ad37-4197-e8b6-7590feee8d0f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(cleaned_sentences_with_stopwords[0]);"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "what does the job hunting experience look like \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fLAkEIdlQYe4"
      },
      "source": [
        "##Word2Vec-Skipgram Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mjZuRDhsQYe5",
        "outputId": "79efef14-e917-4c9b-876b-bdcfcd2af1a7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "    \n",
        "v2w_model=None;\n",
        "try:\n",
        "    v2w_model = gensim.models.KeyedVectors.load(\"w2vecmodel.mod\")\n",
        "    print(\"Loaded w2v model\")\n",
        "except:            \n",
        "    v2w_model = api.load('word2vec-google-news-300')\n",
        "    v2w_model.save(\"w2vecmodel.mod\")\n",
        "    print(\"Saved w2v model\")\n",
        "\n",
        "w2vec_embedding_size=len(v2w_model['computer']);"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded w2v model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e46dBBGRQYe9",
        "outputId": "d98839ed-9e99-4336-b8a0-a3eab3c3d3ee",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#question_orig=\"What does a data scientist usually do ?\"\n",
        "#question_orig=input()\n",
        "#question=clean_sentence(question_orig,stopwords=False);\n",
        "cleaned_sentences_test=get_cleaned_sentences(df_test,stopwords=False)\n",
        "print(cleaned_sentences_test);"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['how difficult is it to find a job', 'please provide how data science jobs are in the market', 'how has the covid impacted job', 'tell me about the skills required for data science in the industry', 'is advanced knowledge of ml required', 'what are the tasks performed by a data scientist in a day', 'how much is data structure important for data science positions', 'how much maths knowledge is required to get a data science job', 'how many rounds of interview is done for data science roles', 'how much coding experience is required for data science positions']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m4UqxeS9QYe_"
      },
      "source": [
        "def getWordVec(word,model):\n",
        "        samp=model['computer'];\n",
        "        vec=[0]*len(samp);\n",
        "        try:\n",
        "                vec=model[word];\n",
        "        except:\n",
        "                vec=[0]*len(samp);\n",
        "        return (vec)\n",
        "\n",
        "\n",
        "def getPhraseEmbedding(phrase,embeddingmodel):\n",
        "                       \n",
        "        samp=getWordVec('computer', embeddingmodel);\n",
        "        vec=numpy.array([0]*len(samp));\n",
        "        den=0;\n",
        "        for word in phrase.split():\n",
        "            #print(word)\n",
        "            den=den+1;\n",
        "            vec=vec+numpy.array(getWordVec(word,embeddingmodel));\n",
        "        #vec=vec/den;\n",
        "        #return (vec.tolist());\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "th2lcDn-QYfB"
      },
      "source": [
        "#With w2Vec for original question dataset\n",
        "import numpy\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,v2w_model));"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r75dIa4VQYfD"
      },
      "source": [
        "#With w2Vec for test question dataset\n",
        "import numpy\n",
        "sent_embeddings_test=[];\n",
        "for sent_test in cleaned_sentences_test:\n",
        "    sent_embeddings_test.append(getPhraseEmbedding(sent_test,v2w_model));"
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gyvl2mC3QYfF",
        "outputId": "13dc0bf6-b051-4fda-e52a-c4b42c2f425b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import sklearn\n",
        "from sklearn.metrics.pairwise import cosine_similarity;\n",
        "def retrieveAndPrintFAQAnswer(question_embeddings_test,sentence_embeddings,FAQdf,sentences,FAQdf_test,sentences_test):\n",
        "  for index_test,faq_embedding_test in enumerate(question_embeddings_test):\n",
        "    max_sim=-1;\n",
        "    index_sim=-1;\n",
        "    for index,faq_embedding in enumerate(sentence_embeddings):\n",
        "        \n",
        "      sim=cosine_similarity(faq_embedding,faq_embedding_test)[0][0];\n",
        "      #print(index, sim, sentences[index])\n",
        "      if sim>max_sim:\n",
        "        max_sim=sim;\n",
        "        index_sim=index;\n",
        "\n",
        "    FAQdf_test.iloc[index_test,2]=FAQdf.iloc[index_sim,2]\n",
        "    FAQdf_test.iloc[index_test,5]=FAQdf.iloc[index_sim,0]\n",
        "    print(\"\\n\")\n",
        "    print(\"Question: \",sentences_test[index_test])\n",
        "    print(\"\\n\");\n",
        "    print(\"Retrieved: \",FAQdf.iloc[index_sim,0]) \n",
        "    print(\"Answer:\",FAQdf.iloc[index_sim,1])        \n",
        "  df_test=FAQdf_test \n",
        "retrieveAndPrintFAQAnswer(sent_embeddings_test,sent_embeddings,df,cleaned_sentences,df_test,cleaned_sentences_test);"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "Question:  how difficult is it to find a job\n",
            "\n",
            "\n",
            "Retrieved:  What does the job hunting experience look like ?\n",
            "Answer: Job hunting experience involves networking to get in touch with the right people in various companies, applying to lots of jobs through various channels, preparing for interviews – while interviews are uncertain it is necessary to prepare well what you CAN prepare, smart scheduling of interviews to get the best job and salary you can.\n",
            "\n",
            "\n",
            "Question:  please provide how data science jobs are in the market\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n",
            "\n",
            "\n",
            "Question:  how has the covid impacted job\n",
            "\n",
            "\n",
            "Retrieved:  What does the job hunting experience look like ?\n",
            "Answer: Job hunting experience involves networking to get in touch with the right people in various companies, applying to lots of jobs through various channels, preparing for interviews – while interviews are uncertain it is necessary to prepare well what you CAN prepare, smart scheduling of interviews to get the best job and salary you can.\n",
            "\n",
            "\n",
            "Question:  tell me about the skills required for data science in the industry\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n",
            "\n",
            "\n",
            "Question:  is advanced knowledge of ml required\n",
            "\n",
            "\n",
            "Retrieved:  Do employers look for an advanced ML degree?\n",
            "Answer: For more senior roles: People typically look for practical experience for several years or a specialized degree with some experience. Employers typically want folks who have seen various kinds of ML problems and solved them, who can come up with the right solution for a new problem when they are looking for a more senior role.   \n",
            "\n",
            "For a beginner role: a degree usually adds some level of credibility, but if one has a good portfolio with good projects, it is usually an accepted substitute. Employers do hope to see if the candidate is comfortable with basic concepts in ML along with being able to write code.\n",
            "\n",
            "\n",
            "Question:  what are the tasks performed by a data scientist in a day\n",
            "\n",
            "\n",
            "Retrieved:  How does a typical day of a data scientist look like?\n",
            "Answer: Here are some tasks in the typical day of a data scientist:\n",
            "\n",
            "Make a plan for the day\n",
            "Look at data, what clean up is required, figure out what models can be built\n",
            "Talk to various stakeholders about what modeling is possible and help them narrow down to something useful for the business\n",
            "Build models, test and debug (takes a long time)\n",
            "Parameter tuning – test tons and tons of parameters (takes a long time)\n",
            "Come up with prod architecture to get deployment ready\n",
            "Write ML pipeline for production ready modeles – deploy them\n",
            "Wait for long time till we have a significant sample to see if they are working\n",
            "Analyze and see whether the models are working as expected, have any impact\n",
            "Come up with improvements/ corrections based on prod feedback and prepare for next iteration.\n",
            "Meeting with team members / daily sprints / bug triages based on production feedback – Interaction with ML Manager, Product Manager, Developers, Data engineers\n",
            "\n",
            "\n",
            "Question:  how much is data structure important for data science positions\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n",
            "\n",
            "\n",
            "Question:  how much maths knowledge is required to get a data science job\n",
            "\n",
            "\n",
            "Retrieved:  What level of proficiency is needed for a data scientist in coding?\n",
            "Answer: Needs to be reasonably proficient. Again, a data scientist is a developer ++. Usually expected to have the basic skills a developer has including understanding algorithms and data structures and being able to write clean, understable, efficient, well documented code.\n",
            "\n",
            "In many cases, the data scientist is expected to write production ready code and be able to understand the deployment process. In some cases, the coding could be for decision support.\n",
            "\n",
            "\n",
            "Question:  how many rounds of interview is done for data science roles\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n",
            "\n",
            "\n",
            "Question:  how much coding experience is required for data science positions\n",
            "\n",
            "\n",
            "Retrieved:  Is preparation of algorithms and data structures needed for a data science interview ?\n",
            "Answer: Yes. In many data science interviews (ML Scientist, data scientist, ML Engineer, Data engineer) there is a coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some of the Analyst interviews, such as a data analyst and a business analyst might not have an algorithms and data structures round.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sEFAL7B2QYfI",
        "outputId": "c74d56f6-301d-4be8-9486-6108f87523b3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "df_test"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>ActualCode</th>\n",
              "      <th>PredictedCode</th>\n",
              "      <th>Prediction?</th>\n",
              "      <th>ActualQuestion</th>\n",
              "      <th>PredictedQuestion</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>How difficult is it to find a job?</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
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              "      <th>2</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Tell me about the skills required for Data sci...</td>\n",
              "      <td>4</td>\n",
              "      <td>7.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What skills and qualities do employers look fo...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Is advanced knowledge of ML required?</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>What are the tasks performed by a data scienti...</td>\n",
              "      <td>6</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>How much is data structure important for data ...</td>\n",
              "      <td>7</td>\n",
              "      <td>7.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>How much maths knowledge is required to get a ...</td>\n",
              "      <td>8</td>\n",
              "      <td>10.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>How many rounds of interview is done for data ...</td>\n",
              "      <td>9</td>\n",
              "      <td>7.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>How much coding experience is required for dat...</td>\n",
              "      <td>10</td>\n",
              "      <td>7.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0                 How difficult is it to find a job?  ...   What does the job hunting experience look like ?\n",
              "1  Please provide how data science jobs are in th...  ...  Is preparation of algorithms and data structur...\n",
              "2                    How has the Covid impacted job?  ...   What does the job hunting experience look like ?\n",
              "3  Tell me about the skills required for Data sci...  ...  Is preparation of algorithms and data structur...\n",
              "4              Is advanced knowledge of ML required?  ...       Do employers look for an advanced ML degree?\n",
              "5  What are the tasks performed by a data scienti...  ...  How does a typical day of a data scientist loo...\n",
              "6  How much is data structure important for data ...  ...  Is preparation of algorithms and data structur...\n",
              "7  How much maths knowledge is required to get a ...  ...  What level of proficiency is needed for a data...\n",
              "8  How many rounds of interview is done for data ...  ...  Is preparation of algorithms and data structur...\n",
              "9  How much coding experience is required for dat...  ...  Is preparation of algorithms and data structur...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S-plaagwQYfL",
        "outputId": "2f0d64ad-7829-451d-8e79-9a6028829b84",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "for i in range(df_test.shape[0]):\n",
        " if df_test.iloc[i,1]!=df_test.iloc[i,2]:\n",
        "   df_test.iloc[i,3]='InCorrect'\n",
        " else:\n",
        "   df_test.iloc[i,3]='correct'\n",
        "df_test"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>questions</th>\n",
              "      <th>ActualCode</th>\n",
              "      <th>PredictedCode</th>\n",
              "      <th>Prediction?</th>\n",
              "      <th>ActualQuestion</th>\n",
              "      <th>PredictedQuestion</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>How difficult is it to find a job?</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Please provide how data science jobs are in th...</td>\n",
              "      <td>2</td>\n",
              "      <td>7.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>Any insights you can offer about the DS job ma...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>How has the Covid impacted job?</td>\n",
              "      <td>3</td>\n",
              "      <td>1.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What's the impact of Covid on hiring for DS ro...</td>\n",
              "      <td>What does the job hunting experience look like ?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Tell me about the skills required for Data sci...</td>\n",
              "      <td>4</td>\n",
              "      <td>7.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What skills and qualities do employers look fo...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Is advanced knowledge of ML required?</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "      <td>Do employers look for an advanced ML degree?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>What are the tasks performed by a data scienti...</td>\n",
              "      <td>6</td>\n",
              "      <td>6.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>How much is data structure important for data ...</td>\n",
              "      <td>7</td>\n",
              "      <td>7.0</td>\n",
              "      <td>correct</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>How much maths knowledge is required to get a ...</td>\n",
              "      <td>8</td>\n",
              "      <td>10.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>How many rounds of interview is done for data ...</td>\n",
              "      <td>9</td>\n",
              "      <td>7.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>How much coding experience is required for dat...</td>\n",
              "      <td>10</td>\n",
              "      <td>7.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0                 How difficult is it to find a job?  ...   What does the job hunting experience look like ?\n",
              "1  Please provide how data science jobs are in th...  ...  Is preparation of algorithms and data structur...\n",
              "2                    How has the Covid impacted job?  ...   What does the job hunting experience look like ?\n",
              "3  Tell me about the skills required for Data sci...  ...  Is preparation of algorithms and data structur...\n",
              "4              Is advanced knowledge of ML required?  ...       Do employers look for an advanced ML degree?\n",
              "5  What are the tasks performed by a data scienti...  ...  How does a typical day of a data scientist loo...\n",
              "6  How much is data structure important for data ...  ...  Is preparation of algorithms and data structur...\n",
              "7  How much maths knowledge is required to get a ...  ...  What level of proficiency is needed for a data...\n",
              "8  How many rounds of interview is done for data ...  ...  Is preparation of algorithms and data structur...\n",
              "9  How much coding experience is required for dat...  ...  Is preparation of algorithms and data structur...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hSzd9J_AQYfN"
      },
      "source": [
        "list_data_answers=df_test.ActualCode.values.tolist()\n",
        "list_data_FoundCode=df_test.PredictedCode.values.tolist()"
      ],
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tEndu1bOQYfP",
        "outputId": "eacc4fda-d520-4489-d9cd-178ea38d3edb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from sklearn.metrics import multilabel_confusion_matrix\n",
        "from sklearn import metrics\n",
        "multilabel_confusion_matrix(list_data_answers, list_data_FoundCode)\n",
        "#tn, fp, fn, tp = confusion_matrix([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [1.0, 2.0, 2.0, 10.0, 4.0, 1.0, 2.0, 1.0, 2.0, 2.0]).ravel()\n",
        "#print(metrics.classification_report(list_data_answers, list_data_FoundCode))"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[[8, 1],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [1, 0]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [1, 0]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [1, 0]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[5, 4],\n",
              "        [0, 1]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [1, 0]],\n",
              "\n",
              "       [[9, 0],\n",
              "        [1, 0]],\n",
              "\n",
              "       [[8, 1],\n",
              "        [1, 0]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AZ6OpTYyQYfR"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from mlxtend.evaluate import confusion_matrix\n",
        "\n",
        "\n",
        "cm = confusion_matrix(list_data_answers, list_data_FoundCode, binary=False)"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wU0PyEFjQYfV",
        "outputId": "1b1caa4d-d02e-4de8-8d0f-27fbd3ae926a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from mlxtend.evaluate import confusion_matrix\n",
        "from mlxtend.plotting import plot_confusion_matrix\n",
        "\n",
        "import pprint\n",
        "#creating confusion matrix\n",
        "fig, ax = plot_confusion_matrix(conf_mat=cm)\n",
        "plt.show()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XWbhL2R6QYfY",
        "outputId": "cd9461a6-6189-454c-c1a2-7dc01167c561",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(metrics.classification_report(list_data_answers, list_data_FoundCode))"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           1       0.50      1.00      0.67         1\n",
            "           2       0.00      0.00      0.00         1\n",
            "           3       0.00      0.00      0.00         1\n",
            "           4       0.00      0.00      0.00         1\n",
            "           5       1.00      1.00      1.00         1\n",
            "           6       1.00      1.00      1.00         1\n",
            "           7       0.20      1.00      0.33         1\n",
            "           8       0.00      0.00      0.00         1\n",
            "           9       0.00      0.00      0.00         1\n",
            "          10       0.00      0.00      0.00         1\n",
            "\n",
            "    accuracy                           0.40        10\n",
            "   macro avg       0.27      0.40      0.30        10\n",
            "weighted avg       0.27      0.40      0.30        10\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ],
          "name": "stderr"
        }
      ]
    }
  ]
}