Glove_NLP.ipynb

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    "colab": {
      "name": "Glove_NLP.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "fZ3ut8XCatI8"
      ],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "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": "49c623ea-3a8b-4a90-c8d3-ae41341927e5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "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": {
            "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>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": "a3062d3f-0f0b-4b8d-c897-b6f1a423cba4",
        "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",
        "    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": "cf30f317-b852-4a74-a90d-40b48a018da3",
        "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": [
        "##Glove Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "__W7NbDAs6js",
        "outputId": "24c55b28-9b46-4d1c-8175-7676ea6c544b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "#loading Glove data\n",
        "glove_model=None;\n",
        "try:\n",
        "    glove_model = gensim.models.KeyedVectors.load(\"./glovemodel.mod\")\n",
        "    print(\"Loaded saved glove model\")\n",
        "except:            \n",
        "    glove_model = api.load('glove-twitter-25')\n",
        "    glove_model.save(\"./glovemodel.mod\")\n",
        "    print(\"Downloaded and saved glove model\")\n",
        "    \n",
        "\n",
        "\n",
        "glove_embedding_size=len(glove_model['computer']);"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[==================================================] 100.0% 104.8/104.8MB 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",
        "\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]) "
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X3TNh0-Aymx_"
      },
      "source": [
        "question_orig=\"WHow 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": "sEQgSQDGtedX",
        "outputId": "29e46fe4-c954-443f-e8b3-1e345e231299",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#With Glove\n",
        "import numpy\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": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "80289 0.8361846842350927 midsternal chest pain lead\n",
            "80290 0.8702302467622663 emergency room high blood pressure\n",
            "80291 0.9337534846217818 mean systolic diastolic blood pressure readings close number 11090\n",
            "80292 0.7063502932107116 difference benicar olmesartan hct losartan hctz\n",
            "80293 0.86948833033664 head dizzy spell short breath mean\n",
            "80294 0.8257503767424828 heartbeat machine called\n",
            "80295 0.8616124195415312 mean left womans chest sore\n",
            "80296 0.9124896144199084 whats average blood pressure for12 year olds\n",
            "80297 0.6856792733843835 vitamin help reduce ldl\n",
            "80298 0.7221160193340072 causes constant passing feaces meal remedied\n",
            "80299 0.9456437661649293 makes peritonitis pleurisy pericarditis cause great deal pain\n",
            "80300 0.8044034064716866 borderline inferior q wave mean\n",
            "80301 0.6153741660869423 concerns acetaminophen ibuprofen liver effects safer aspirin inflammation headache pericarditis\n",
            "80302 0.3870945191870507 definition description mitral valve prolapse\n",
            "80303 0.8978983299923451 normal colesterol levels pregnancy im 10 weeks pregnant lab results 217 worried\n",
            "80304 0.7173000610132474 303 triglycerides mean\n",
            "80305 0.7750476955004192 longest person live cardiomyopathy\n",
            "80306 0.8530055216927116 kind chest pain cardiovascular related distinct type pain feel pain left chest\n",
            "80307 0.6935417890702696 sxs mean edema fatigue shortness breath mild abd cramps\n",
            "80308 0.7673067808731614 flying plane hurt sacroilliac fracture tro hip bursitis suffer dvt effect flying fracture ease\n",
            "80309 0.0 cholestorol\n",
            "80310 0.1521354457997361 dangers aortic aneurism 3 centimeters\n",
            "80311 0.7540760414489157 definition description congestive heart failure\n",
            "80312 0.8379668723868219 pvd lifespan short crossover bypass told alive 10 yrs likely surgeries exhausted\n",
            "80313 0.5614648456280061 hgh help pulmonary hypertension\n",
            "80314 0.5979703456780315 inflammation carotid artery cause pain\n",
            "80315 0.7904734953543645 differance high blood pressure pulmonary hypertension diastolic typucalky 115 w sone shortness breath\n",
            "80316 0.9443740451549962 consider anteroseptal ischemia mean\n",
            "80317 0.8587121679217575 creatine kinase 137 mean\n",
            "80318 0.6852988271115772 dehydration cause swollen feet\n",
            "80319 0.7222354888116773 midsternal chest pain\n",
            "80320 0.42327319970872135 difference plavix lipitor atorvastatin\n",
            "80321 0.8716620347624737 normal range blood pressure fifty year old adult male\n",
            "80322 0.8613626406188185 rid high blood pressure headache\n",
            "80323 0.7177885364927586 occult cardiovascular disease mean\n",
            "80324 0.8623580226502805 dialysis heart patients use cough\n",
            "80325 0.10826451976852838 bilateral pulmonary edema\n",
            "80326 0.8246748820962607 inflammation inner lining heart called\n",
            "80327 0.7845668395394704 ear infection raise blood pressure\n",
            "80328 0.9095339111281824 use patenol 4 months\n",
            "80329 0.51773248436939 adderall dextroamphetamine racemic amphetamine 30mgs affect severe pulmonary hypertention\n",
            "80330 0.890839786951016 cardiac stress test heart ultra sound atherosclerosis homocysteine play\n",
            "80331 0.6937031347657981 mean feel aortic artery abdomen\n",
            "80332 0.8576228384170408 difference chest pain block gas\n",
            "80333 0.7010355727204233 causes midsternal chest pain\n",
            "80334 0.5774953449871801 definition description angina\n",
            "80335 0.7050747052621714 mean cardiology apical septum mildly hypokinetic\n",
            "80336 0.82215265190058 flying plane sacroilliac fracture worse tro hip bursitis suffer dvt worse fly\n",
            "80337 0.9231499062090011 mean angina attack long time\n",
            "80338 0.8970447854527633 normal scale blood pressure 50 years old women\n",
            "80339 0.7086135243924053 old anteroseptal myocardial infarction mean\n",
            "80340 0.720829555542102 definition description tia\n",
            "80341 0.8669866862980267 definition description high blood pressure\n",
            "80342 0.5849211230261147 definition description ldl cholesterol\n",
            "80343 0.7929959337093021 ink poisoning heart infection getting tattoo blood vessels arms\n",
            "80344 0.8465763276007601 estrogen topically enter blood stream fish oil transdermally affect\n",
            "80345 0.9146973992532925 negative pressure pulmonary edema happen time surgery happened supposed surgery soon\n",
            "80346 0.9089590649222069 having trouble breathing 2 hours run run felt pretty good chest tight having hard time taking deep breath\n",
            "80347 0.6103972511252531 definition description transient ischemic attack\n",
            "80348 0.7927680811951111 causing heat flashes chest heart area painful scary chest twitching heart\n",
            "80349 0.8874041334710729 average number heart beats minute\n",
            "80350 0.43987281608732337 atorvastatin oxide effects\n",
            "80351 0.8658188829229343 atenolol start work\n",
            "80352 0.8059560365788733 dull ache inside left arm armpit elbow likely cardiac nature typically associated symptoms\n",
            "80353 0.9257215542846516 blood pressure high 78years old woman tia medication hbp safe high low limits bp\n",
            "80354 0.3359736477311754 scleroderma crest variant\n",
            "80355 0.540281642421721 spinach increases cholesterol\n",
            "80356 0.7020929594613877 flyin plane hurt sacroilliac fracture tro hip bursitis suffer dvt\n",
            "80357 0.49427666644888846 symptoms severe emphasema\n",
            "80358 0.8675208246918494 heart patient relieve somewhat symptoms bad cold came fast symptoms complete head congestion earaches chills\n",
            "80359 0.8510743269065035 happen person tried commit suicide stabing carotid artery missed\n",
            "80360 0.7195702176594038 feet swollen feeling cold injury\n",
            "80361 0.6985545415669094 stroke opticl nerve damage recover\n",
            "80362 0.7222514119906435 niacin flush free clean thc\n",
            "80363 0.38207848107951337 lisinopril irritate esophagus\n",
            "80364 0.9148709365385405 whats chance having bacterial endocarditis fever\n",
            "80365 0.9033960239718836 best specialist sarcoidois currently manifesting neck head\n",
            "80366 0.8121321711079654 mean chest hurt breathe cough arms\n",
            "80367 0.8942547740652766 drink coffee open heart surgery\n",
            "80368 0.9127182599684196 went health check bp 180100 colestarol 3 95 pulse 40 blood pressure high\n",
            "80369 0.8598228262763078 person 2 reverse poor circulation legs\n",
            "80370 0.17591368328508966 symtoms bylateral pedal edema 2\n",
            "80371 0.7463697891255737 cardio excercise cause weakened heart valve start leaking excercise cause heart valve leakage weakened mitral valve\n",
            "80372 0.8274716033200735 warfarin teratogenic fetus thrombosis specialist tell switch lmwh pregnant confused\n",
            "80373 0.8808198919232237 bp number considered low\n",
            "80374 0.8955531981378978 pills goid mans stamina want hurt taking blood pressure med\n",
            "80375 0.8210359260742892 doctors testing lipids thc come\n",
            "80376 0.8990429757730877 weird feeling chest time felt like heart stopped quick sec symptoms felt fine stressed\n",
            "80377 0.8117705830883539 cause shortness breath slight dizziness walking hill lasting 30 minutes\n",
            "80378 0.7031127384530843 cirrhosis portal hypertension cause pain spleen liver\n",
            "80379 0.8841072143789943 woke midnight collar bone hurting badly felt broken pain went shoulders bit day lower pain heart beats irregularly times\n",
            "80380 0.8110634057703672 causes shortness breath day drinking alcohol\n",
            "80381 0.7482203297712996 chest tightening mean\n",
            "80382 0.8889513225269784 wat cuz high blood pressure\n",
            "80383 0.8793978895722928 difference angiogram angiography\n",
            "80384 0.8472446837789838 bp acidity consider regular bp patient\n",
            "80385 0.9223269328707187 whats best treatment secondary hypertension\n",
            "80386 0.8676058206003908 stage high blood pressure 17292\n",
            "80387 0.9345722851441176 person need open heart surgery\n",
            "80388 0.9056967645568668 normal blood pressure 34 year old woman 57 tall\n",
            "80389 0.8899197745670252 normal bp reading 90yr old lady\n",
            "80390 0.8792261474946177 high blood pressure person suffer fainting\n",
            "80391 0.821018583626515 ateries supply blood oxide food heart muscle\n",
            "80392 0.6827445416441161 advantages disadvantages heart transplant\n",
            "80393 0.864431338512854 isthebest test checking angina diagnosis 6 years ago deter oater\n",
            "80394 0.8924242744456414 normal human heart beat 100\n",
            "80395 0.8748378973982085 time good norvasc amlodipine\n",
            "80396 0.7942083212983478 artificial heart valves important\n",
            "80397 0.2657149788148817 coronary arteries veins\n",
            "80398 0.874709185568925 highest blood pressure reading doesnt increase risk heart attack stroke\n",
            "80399 0.8360555328692971 people swollen heart\n",
            "80400 0.8865186284092297 normal blood pressure 65 yr old male\n",
            "80401 0.8693410186221757 legs feel like retaining water\n",
            "80402 0.589276102796588 glucosamine fish oil anticoagulate\n",
            "80403 0.2614607688779613 norvasc amlodipine ace inhibitor\n",
            "80404 0.8022093165965115 causes shortness breath elevated pulse rate blood oxygen ok\n",
            "80405 0.7507382744160083 head cat scan brain aneurysm\n",
            "80406 0.72790038582678 drank alcohol chest hurts\n",
            "80407 0.8445211789006701 finger best prick accurate cholesterol results\n",
            "80408 0.9450214298298139 mean doctors heart 20\n",
            "80409 0.8384836486839493 chance surviving stroke\n",
            "80410 0.8704101185225546 cough syrup heart patient\n",
            "80411 0.8457853090188109 safe medication sinus pressure high blood pressure\n",
            "80412 0.7943689814428846 wil bigger butt swallowin fish oil\n",
            "80413 0.9041703272643907 blood pressure 58 year old womans\n",
            "80414 0.8400218994688458 fish oil raise blood pressure\n",
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            "80583 0.8150510760998484 positive myocardial ab mean titer 140\n",
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            "80614 0.8226259089086139 mothers lower legs completely purpledark red hard painful vascular specialist ruled deep vein thrombosis\n",
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            "80715 0.8507835995115858 eat high glycemic foods short breath pains left arm chest\n",
            "80716 0.8597428070615087 causes heart feel like squeezed\n",
            "80717 0.8895178971299205 normal bp 40 year old\n",
            "80718 0.8443991164701815 woke middle night left arm pain numbness headache nausea health issue acid reflux\n",
            "80719 0.8575197137156965 mean bruise lower heart\n",
            "80720 0.9176519507888677 wat good heart good\n",
            "80721 0.9009220140136345 hear heart beat ear things quiet\n",
            "80722 0.8955172904293278 mean white spot heart\n",
            "80723 0.9351901320022612 taking fish oil improve insomnia brought taking daily similar doesnt cause insomnia\n",
            "80724 0.8582002064501041 normal values ldh pregnant women\n",
            "80725 0.8765350931242913 feel right chest pain excercise\n",
            "80726 0.8956351479988833 better colesterol morning nightime\n",
            "80727 0.8002363526938405 considered low blood pressure trimester pregnancy\n",
            "80728 0.7984655601850239 mean tips nipples purple\n",
            "80729 0.9123848976162561 mean poor circulation hands\n",
            "80730 0.8457356549466765 smoking cigarette away heart burn\n",
            "80731 0.6049088981930598 stage iia2 mean mitral valve prolapse\n",
            "80732 0.8271980055156342 cause heart muscles harden cause shortness breath\n",
            "80733 0.9179324457050355 normal blood pressure 90 year old woman\n",
            "80734 0.8457330279641798 main cause shortness breath trying fully inhale unable doesnt happen breath gasping\n",
            "80735 0.7385076454709315 causes sqelling brainn heart attack\n",
            "80736 0.7691377106640019 usually aspirin daily stroke ihd irreversible inhibitor platelet agreggation platelet life 10 days\n",
            "80737 0.8484141914073131 medical reason fish oil causing horrible insomnia\n",
            "80738 0.8556708207680477 cause swelling knee ankle looks like gout area cardiologist said definitely blood clots\n",
            "80739 0.8870880878348107 high cholesterol diet feel tired\n",
            "80740 0.8952444384284869 medicine best treat angina\n",
            "80741 0.7086781720273576 types lipid amounts listed food labels\n",
            "80742 0.7333030962610566 effect 0 9 nacl blood pressure\n",
            "80743 0.5546146935684215 causes severe bleeding bladder patients sarcoidosis\n",
            "80744 0.8935274529353765 life expectancy 60 year old man esrd endstage liver disease hypertension\n",
            "80745 0.9027243148987134 good resting blood pressure\n",
            "80746 0.7945830802508508 whats causing chronic diarrhoea recurrent sepsis utis 5 months started 5 days afterroutine cystoscopy colistin antibiotic cover\n",
            "80747 0.9314753174001826 problem bleeding 3 consecutive days having intercourse trying conceive time period tia\n",
            "80748 0.7748388503748902 caused hdl drop\n",
            "80749 0.5634514088962727 doctor checks cerebrovascular disease\n",
            "80750 0.8237109133927378 avoid eat reduce possibility pheochromocytoma attack untreated medication\n",
            "80751 0.7623104312019368 risk associated patient diagnosed unstable angina involve regular exercise\n",
            "80752 0.630097237204393 100mg niacin clean\n",
            "80753 0.8155934114923445 characteristic diet oppose heart disease\n",
            "80754 0.8661838275376764 low iodine cause salt cravings high bp\n",
            "80755 0.8929123204346167 feel lung congested doctor told clear feel air times especially laying\n",
            "80756 0.6998683936882819 anesthesiologist whaen blood pressure drops csection\n",
            "80757 0.8739464372537021 feel like heart beating boobs\n",
            "80758 0.9203739209606653 ideal blood pressure an18 year old girl\n",
            "80759 0.882984515704731 best tenormin atenolol day night\n",
            "80760 0.13677343281781312 livedoid vasculitis curable\n",
            "80761 0.8880130176290701 possible non heart attack cause quick sharp pain left chestarm gas stomach issues\n",
            "80762 0.9012795516437299 mean physically heart beat belly\n",
            "80763 0.7993907629413086 damages heavy cigarette smoking 3 years reversible quitting particularly shortness breath\n",
            "80764 0.8670389447328647 medical procedures patient having heart attack preventive measures ease pain attack\n",
            "80765 0.9004330860464768 mean sudden sharp pain heart area breath makes feel like rock heart hold breath stops\n",
            "80766 0.7852962746013721 drastic difference value prox pfa psv right leg 82 3 vs left leg 64 4 lower extremity arterial duplex\n",
            "80767 0.8094395112165247 cause chest pain left hand numbness\n",
            "80768 0.7675482873367019 reason feeling breathless climbing stairs walking incline\n",
            "80769 0.8634943714741459 ms diagnose 13 yrs ago affecting memory swallowin heart pslpations trouble breathin bladder control expect\n",
            "80770 0.7659229641271385 cause inr 1 mpv 7 normal platelet count\n",
            "80771 0.7585874488640588 liklihood benefit combination antihypertensive prescriptions titrated tolerated dose\n",
            "80772 0.8604278860413339 heart failure affect penis size\n",
            "80773 0.6674341458190883 causes lung fluid retention heart valve surgery\n",
            "80774 0.6659412008130133 largest difference fainting seizures\n",
            "80775 0.7949301958606594 blood pressure meds contain sulfites\n",
            "80776 0.8148722647034043 cause bp 12080 8656 home drs office higher 13090 htn pcos provera medroxyprogesterone lisinoril hctz\n",
            "80777 0.8461344024331044 z pack causing chest pain\n",
            "80778 0.8818039873516249 woke pain sides calfs affect amlodipine week think legs\n",
            "80779 0.8522861022060382 cause periodic dull heart pain\n",
            "80780 0.7039906692049196 eating gluten products develop bloating constipation water retention gluten sensitivity celiacs disease\n",
            "80781 0.9122178892354138 notice care heart attach patients\n",
            "80782 0.6086433486108501 nopalina effects\n",
            "80783 0.820746052449121 talked refuses provide lipid infusion picc textbook says low osmolarity fat permits deliver peripheral veins\n",
            "80784 0.8595523861035651 lung cancer detected xray looking heart\n",
            "80785 0.8161679081596205 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 0.8517819627197766 blood pressure elite athletes\n",
            "80787 0.8372632962734392 cause sudden breathlessness\n",
            "80788 0.9011153347819513 blood pressure 65 year old male\n",
            "80789 0.6765256354501878 wieght loss fatigue cbc cmp tsh wnl uashowed wbc crystals lupus anticoag years cld lupus\n",
            "80790 0.6577315724465916 vitd suppliment contraindicated pat sarcoidosis tb\n",
            "80791 0.3460836892336651 symptoms cerebral vasculitis\n",
            "80792 0.35618925219511055 typical symptoms mitral regurgitation\n",
            "80793 0.6724612862457429 q 10 enzyme alleviate effects beta blockers\n",
            "80794 0.6904893826490311 type bloodwork helps diagnosing cerebral vasculitis\n",
            "80795 0.7979892110611855 inr increase warfarin dose low stay\n",
            "80796 0.7174870153933228 doctor test cerebral vasculitis\n",
            "80797 0.8650612312636385 chest pains drinking red bull need er\n",
            "80798 0.9133714899130894 eating hours blood work raise cholesterol\n",
            "80799 0.7442003545750585 prescribed atenelol 12 5 mgs safe\n",
            "80800 0.8899199508645512 lungs feel like burning ive felt dont trouble breathing like past\n",
            "80801 0.8403883824696404 cause nerve pinch pain chest area\n",
            "80802 0.338417816871541 weaning 2 5 mg amlodipine besylate\n",
            "80803 0.6440369925209367 helps insomnia benicar olmesartan cozaar\n",
            "80804 0.766793515141402 smoke light headed chest gets tight neck tight stiff blance\n",
            "80805 0.540999624461382 causes hemiplegic migranes total stroke symptoms\n",
            "80806 0.5405091586029108 possible complication cerebral cns vasculitis\n",
            "80807 0.9076079157745128 kind medicine lower pain currently taking high blood pressure medicine\n",
            "80808 0.8786904812346806 kind medicine lower pain high blood pressure medicine\n",
            "80809 0.7847041980545985 water retention face joints\n",
            "80810 0.8735811969658965 bruices body coming come head chest hurt\n",
            "80811 0.4353838160147133 specialist cns vasculitis\n",
            "80812 0.769693754500177 cns vasculitis cause blurry vision cognitive changes changes reversible\n",
            "80813 0.8164421935047775 kind exam check heart arteries clogged\n",
            "80814 0.8001178185182815 brain mri ruptured aneurysm appear month pregnant ehlers danlos hypermobility developed ice pick headache\n",
            "80815 0.8113563876076245 cause chest pain 21\n",
            "80816 0.7755344667551581 mean valve damage vein calf previous dvt apls\n",
            "80817 0.7809919155813871 causes nausea shaking feel like fainting hungry\n",
            "80818 0.8454605091065566 best medication reducing tg father hyper triglyceridemia tg 430 cholestrol hdl ldl normal\n",
            "80819 0.9513427492649277 mean high aldosertone high renin high cortisol levels chance talk dr like learn thanks\n",
            "80820 0.5143921910843473 whats difference mitral vavle prolapse mild mitral valve leak\n",
            "80821 0.8591109576111372 woke feeling tired 7 hrs sleep chest discomfort headache cause history htn pcos provera medroxyprogesterone lisinopril hctz\n",
            "80822 0.6226881420944786 blocked arteries fibre appearance\n",
            "80823 0.8500033416873377 mean woman bleeds eye injured time leg swollen high blood pressure\n",
            "80824 0.7404560133890792 reliability nuclear stress test particularly regard ruling angina cardiac related chest discomfort\n",
            "80825 0.8738062322677278 people african descent prone high blood pressure\n",
            "80826 0.7274941611095105 heart visible echocardiogram imagaing\n",
            "80827 0.7909335635144386 nightly temp foot cramps wakening blood potassium results normal prenatal multivitamins im statin\n",
            "80828 0.8784219488901536 causes heart feeling like stops beat flutters fast hard\n",
            "80829 0.815064991489632 best statin therapy elderly patients\n",
            "80830 0.7490215730297373 statin suitable elderly patients high ldl level\n",
            "80831 0.8112037974354993 statin drug prone muscle pain effect problem red rice yeast\n",
            "80832 0.9049818966015654 went clinic chest pain 10 days bp 150110 heartbeat 94 doctor prescribed concor 5mg 110kg 23y 187cm reason\n",
            "80833 0.4241558997126478 stop plavix clopidogrel aspirin bladder insertion catherer\n",
            "80834 0.7574258851317685 lifelong fairly severe pain lower teethgums neck chest running lesser extent exertion discovered abnormalities cardiac workups\n",
            "80835 0.7287703443945655 outcome av canal surgery\n",
            "80836 0.8427868650639929 possible timing repair av canal defect tetralogy fallot child aged 3 months\n",
            "80837 0.736918804665922 symptoms cns vasculitis months major complications\n",
            "80838 0.8604026238714293 people cns vasculitis usually die complication\n",
            "80839 0.6371878841855885 major complications cns vasculitis\n",
            "80840 0.8891371974724643 gemini heart beat\n",
            "80841 0.9360881300488736 1 thing help decrease anxiety prior having blood pressure taken office visit\n",
            "80842 0.9031357621484493 lay hear heart beat odd feels weird hear\n",
            "80843 0.9126904879710978 mean diostic number 88 higher blood pressure\n",
            "80844 0.9277491861505522 women 44 heart disease type 2 diabities possible starting menopause got period month\n",
            "80845 0.8800138465788575 symptoms stroke know father having stroke complains chest pain lies bed rest\n",
            "80846 0.7889080593798797 temporary yellow skin yellow eyes body anemia pheochromocytoma pheo related\n",
            "80847 0.8782613041024737 dash diet lowering bp thought gold standard blood pressure diet\n",
            "80848 0.6710189265642021 current medical opinion taking antibiotics dental cleanings mild mvp mitral valve prolapse\n",
            "80849 0.8540743407644119 pulse muscules body feel shaky jittery happen whilst tarceva erlotinib\n",
            "80850 0.59269926131844 tortuous esophagus means\n",
            "80851 0.6835796306254315 signs stroke\n",
            "80852 0.8501660313838149 happens lisinopril twice day mistake 2025 mg hctz hydrochlorothiazide feeling weird\n",
            "80853 0.9143469903535122 signs watch im having reaction taking lisinopril 2025 hctz hydrochlorothiazide twicw mistake dont way check bp\n",
            "80854 0.861098418470423 medical focus treating symptoms cardiovascular disease instead addressing cause appears diet\n",
            "80855 0.9072742282161446 wat best brand omega 3 fish oil shoud 43 yr old female consume daily\n",
            "80856 0.7525237077881622 total cholesterol level 130 actually regress plaque present coronary arteries\n",
            "80857 0.38710938800674494 cause dilated carotid artery dizziness\n",
            "80858 0.8726868830865445 medication recommend broken heart physically mentally girl crushing hurts procedure\n",
            "80859 0.8857931335752979 dizzylightheaded ctmri head echo heart ent eval negative tests evaluated\n",
            "80860 0.0 hydroclorothiazide\n",
            "80861 0.874468913311225 ways lower high blood pressure medication\n",
            "80862 0.8312744065636923 vitamin brand recommend centrum good brand fish oil safely\n",
            "80863 0.33722977538788934 trace edema\n",
            "80864 0.8538079049932441 diagnosed bunch lung nodules august pretty intense chest pain worried\n",
            "80865 0.46339352695682107 alternatives gemfibrozil\n",
            "80866 0.8674256972542486 helpful seek cardiologist preventative measures set baseline family history stroke heart disease\n",
            "80867 0.41752683318162 causes inr level 2 3 1 3 coumadin warfarin\n",
            "80868 0.6870414479347504 hypolipidaemic agent pregnancy\n",
            "80869 0.8536426140299782 calcium score 10 6 mean\n",
            "80870 0.8411879057923538 signs left arm pain cardiac nature opposed pinched nerve like\n",
            "80871 0.9458295413235461 mean blood pressure 105 73 youre 22 years old pretty healthy\n",
            "80872 0.6357540568450204 depakote 20 years 1000mg seizures bp averaged 12276 bp averages 14282\n",
            "80873 0.6736851347317856 sudden chest pain clammy feet diarrhea symtoms aortic dissection quickly progress\n",
            "80874 0.2915588476080256 significance bilateral atrial enlargement\n",
            "80875 0.890799419012881 mean systolic pressure normal diastolic low 12660\n",
            "80876 0.7762518769858925 heartbeat speed slow\n",
            "80877 0.08771252897221164 cns vasculitis eeg\n",
            "80878 0.9116001016175168 affect drinking like 4 pints alcahol night heart disease mid lad 60 narrowed narrowing worse like\n",
            "80879 0.766841588507949 risks angiogram brain\n",
            "80880 0.8832369900483743 best way remedy hypertension medication\n",
            "80881 0.8098756407658405 causes false high triglyceride readings\n",
            "80882 0.9150713335068631 wanted know clarithomycn heart murmer\n",
            "80883 0.8190958438326681 people congestive heart failure cachectic\n",
            "80884 0.909735780974175 happens person having chest pain reason cardiac related takes nitroglycerin tab\n",
            "80885 0.7927924593064113 causes dizziness chest pains upper pain lightheaded maintain balance long period time muscle ache nauseated feeling\n",
            "80886 0.7240527028172093 rid acid reflux chest pain\n",
            "80887 0.8858494098482634 causes average low blood pressure 9560 dizziness alot norm cardiac tests doctors dont concerned possible ms brain lesions investigation heart palps\n",
            "80888 0.92523220204245 waking palpations night chest pain arms currently fight new bout sarcoidosis related illlmess\n",
            "80889 0.8775098421331144 enlarged heart return normal medication\n",
            "80890 0.9219239855943566 medication good stop nightmares ptsd seroquel quetiapine ive told prazosin hydralazine\n",
            "80891 0.785667947312681 lower center pain suspicious like aneurysm kidneys cancer tumor opposed benign\n",
            "80892 0.8328194609236886 cause headache fatigue loss appetite craving weird things ice dirt shortness breath chest pain\n",
            "80893 0.7810071973593861 infection mouth brain heart\n",
            "80894 0.9371013712237564 chest xray ace blood test able tell sure havedont sarcoidosis considered\n",
            "80895 0.8926976391528197 administer adrenaline im instead iv case anaphylactic shock adr given hypovolemic shock\n",
            "80896 0.4220660443762369 ct scan patent aorta ivc\n",
            "80897 0.8955443064741185 possible reasons right chest pain\n",
            "80898 0.82063662404259 sleeping arms shake legs jerk chest gasp wake cause lisinopril hctzhtn proverapcos\n",
            "80899 0.547432830426126 adverse effects levodopa ortho static hypotention\n",
            "80900 0.6972267814722048 orthostatic hypotention effect levodopa\n",
            "80901 0.6330038320995284 treatment pheochromocytoma\n",
            "80902 0.8278307023243209 blood tests catecholamines metanephrine abnormal pheochromocytoma crp sedrate high\n",
            "80903 0.9212954254763019 suspicious signs left arm pain cardiac nature know run er pcp time permitting\n",
            "80904 0.8265936142002841 check blood pressure ranges 11050 130s80s large fluctuation normal\n",
            "80905 0.9295919950827087 u experience sever dizziness having heavy period bp 9970 pulse 95\n",
            "80906 0.8536129413926166 natural anticoagulant present human body\n",
            "80907 0.879495234247651 exactly diagnosis splanchnic pooling mean\n",
            "80908 0.8627499395632013 difference heart issues muscle issues pain left breast armpit breast shoulder days\n",
            "80909 0.8806363520221467 kinda omega 3 local drug store daily im 19 male\n",
            "80910 0.887153356759321 hsptl asthma iv steroids gfr 43 levels stge 3 kid disease dont smoke hbp feeling hopeless health improve\n",
            "80911 0.8797040485047545 wondering makes body joints hurt everyday constant headach neck pain feel like heart races lying\n",
            "80912 0.9058900466349578 emotional trigger results white coat syndrome having blood pressure taken mds office\n",
            "80913 0.9244461175111627 hear diastolic pressure way 0 syostolic pressure normal mean blood pressure 1200\n",
            "80914 0.888743056529312 eating long wide carrot shaving got stuck route breathe ok chest pain swallowing water right wait\n",
            "80915 0.6810567345267072 lad artery referred widow maker\n",
            "80916 0.9045019689678458 wake night time fast heartbeat 120 16595 bpnormally 12575and feeling panic gradually goes episode stress lack sleep\n",
            "80917 0.36464184006089323 warfarin disease\n",
            "80918 0.9149348614120223 blood pressure readings considered normal 50yearold man rest\n",
            "80919 0.8484060479201233 cause kidneys stop filtering potassium friends brothers kidneys stopped filtering bp plummeted hospital\n",
            "80920 0.4661756970829741 point doctor preclude exertion abdominal aortic aneurysm\n",
            "80921 0.8909853754492142 causes change blood pressure monitor second time\n",
            "80922 0.8616825682108239 trying pregnant husband rosuvastatin cholesterol diclofenac inflammation cause low sperm count\n",
            "80923 0.8914718142360472 aleve naproxen feels like heart poundsraces feel weightless like floating normal concerned\n",
            "80924 0.24875566762874718 underlying causes aortic valve cusp prolapse regurgitation\n",
            "80925 0.8631806441785116 year ago 1 flu throat 2 head painpressure 3 malaise 4 heartbeats gripefever\n",
            "80926 0.6871884277370175 visit gynecologist turning 18 january sex pcos htn lisinopril hctz provera medroxyprogesterone\n",
            "80927 0.8844169527222647 ct scan fluid lungs heart problem like disease failure\n",
            "80928 0.8770267939312801 vaginal estrogen cause blood pressure rise oral hormones im hoping bypassing liver work\n",
            "80929 0.5384412416045079 reduced cardiac output diabetic ketoacidosis\n",
            "80930 0.767326755186122 causes sudden spike blood pressure zig zag flashing vision\n",
            "80931 0.9181691173532224 blackout stand common thing\n",
            "80932 0.7276912380093351 furosemide called high ceiling diuretic high efficiency diuretic\n",
            "80933 0.2209909128106069 upper endoscope abdominal aneurysm\n",
            "80934 0.8751430435036773 chemical changes place romantic heart\n",
            "80935 0.9175253441873069 paranoid high mean like fralung someones going die heart starts beat fast\n",
            "80936 0.8516091665334807 reason having trouble breathing tingles body\n",
            "80937 0.7647607690958038 left chest hurts breath\n",
            "80938 0.8773259683622613 sitting laying heart starts beat fast slow deep breaths return normal seconds\n",
            "80939 0.8820694784487428 cause heart burn pregrnant\n",
            "80940 0.8284925160933546 seen ct chest angiogram contrast versus contrast contrast different things\n",
            "80941 0.9074398237433339 isnt doctor concerned current blood pressure reading 180110 feel okay headache dizziness significant stress\n",
            "80942 0.9006441050617173 causes passing paleness cold time happend times year\n",
            "80943 0.791600097630465 lead shortness breath\n",
            "80944 0.9106240050530605 wake middle night gasping air months ive dr dont acid reflux age 24 80kgs\n",
            "80945 0.4865490052935992 hypertension primary hypothyroidism\n",
            "80946 0.6742291356347347 difference diclofenac sodium diclofenac potassium given person hypertension\n",
            "80947 0.8767665888751307 woke xtrem hard pounding heart fast hard waking scary dream worry heart nightmare\n",
            "80948 0.8554932835828967 told im candidate hormone therapy menopause migraine history increases stroke progesterone ok\n",
            "80949 0.9253188578480323 number blood pressure considered dangerous came home work minutes later checked 140100 negativesmiley worried\n",
            "80950 0.8929621568439414 exactly difference beetwin fluxetine propranolol mean uses effects\n",
            "80951 0.8460283707322581 laugh got chest pain sleeping wake suddenly chest pain\n",
            "80952 0.6939837308737633 causes sunburn like rash chest upper arms thighs accompanied purple swollen feet ankles\n",
            "80953 0.9238137149221749 effective way youve regulate hormones fight flight response leads high blood pressure\n",
            "80954 0.8120331723497572 mri having mini stroke\n",
            "80955 0.8911694308679555 given 2 mgs lorazapam mistake passed felt heavily drugged strange thinking overdosed work right away\n",
            "80956 0.8166805858895805 whats best herb herb vitamin cholesterol\n",
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            "80958 0.8947329875036816 mini heart attacks easily treat\n",
            "80959 0.832509641250332 fingernails started curving grow long affects index middle fingers hands\n",
            "80960 0.8994823207501483 heart beats feels like forced pump like somethings touching like lungs ribs possible causes\n",
            "80961 0.9209734093483656 weather changes trouble breathing help\n",
            "80962 0.8316139816711093 treatment leg swelling age 57 basic treatment require specialist doctor\n",
            "80963 0.8963820611456801 arent alpha blockers usually considered doctors level defense high blood pressure\n",
            "80964 0.8341013159488351 considered dangerously high bp\n",
            "80965 0.9114091607850675 signs bad heart\n",
            "80966 0.41742475332455115 difference thrombosis atheroma embolism\n",
            "80967 0.8277277598334501 accurate way check pulmonary emobolism fluid build heart chest conditions mri regular xray ultrasound\n",
            "80968 0.8993256028270705 woke difficulty breathing possible im allergic new guy im seeing\n",
            "80969 0.6103280848781686 physical activities shouldnt mitral prolapse\n",
            "80970 0.9006172640444636 normal blood pressure 15 yr old female 105 pounds 5ft 3\n",
            "80971 0.8400322976802737 symptoms congestive heart failure able walk 3 miles hour mall level incline ankle swellin\n",
            "80972 0.8645481599225108 im easy feel cold room temperature 73f feel shortness breath fingernails turn blue\n",
            "80973 0.8787472254644879 ideal timing repair av canal defect tetralogy fallot child 4 months old delivered premature growing slowly\n",
            "80974 0.8551777991765128 healthiest protein breakfast 43 yr old male borderline high cholesterol\n",
            "80975 0.8770947920671628 test tells level angiotensin ii\n",
            "80976 0.8790282072625172 feel stress heart feels like racing normal\n",
            "80977 0.8302040323364155 causes sharp stabbing upper left abdominal pain comes goes worse laying throat feels tight normal cardiac workup\n",
            "80978 0.891698249064646 strange dull pain left arm dont chest pain like month\n",
            "80979 0.821721046947643 chances survival septicemia heart bypass dialysis\n",
            "80980 0.9435174720391618 elevated liver levels mean drink alcahol lot im 40 year old male coronory heart disease help\n",
            "80981 0.8488139622817695 affect testosterone replacement therapy cardiovascular read vasodilation benefits true\n",
            "80982 0.8468290031141167 whats differance bronchiectasis vs asthma copd emphasima similarities diseases stop coughing night\n",
            "80983 0.9128424838255248 person white coat syndrome normal home high persons blood pressure readings actually\n",
            "80984 0.8790046433105438 prednisone help paresthesia nerve study normal imuran plaquenil hydroxychloroquine form vasculitis\n",
            "80985 0.8696422456343619 whats risk lowest blood pressure high blood pressure\n",
            "80986 0.6266785046571733 artery feeds temporal lobe involved stroke produce noticeable symptoms\n",
            "80987 0.6855598294821159 difference plasma renin activity pra vs plasma renin concentration prc\n",
            "80988 0.5261058340299881 shortness breath faintness mild exertion asthma\n",
            "80989 0.8777729131434984 mean hbp age og 20\n",
            "80990 0.8702591605713116 travel plane bypass surgery 22112013 want fly delhi mumbai2 hrs flight\n",
            "80991 0.5424579712303899 chest ache intermittently\n",
            "80992 0.5453085290996429 irbesartan aspirin effects\n",
            "80993 0.635146354361384 number milligrams toprol metoprolol equal 12 5 mg atacand\n",
            "80994 0.8998915502028036 cause chronic left arm chest pains young adult problem past year 2 clean cardiac eval started\n",
            "80995 0.8753873821444721 taking hawthorn sticking ramipril better lowering bp\n",
            "80996 0.9494199586441825 whats good blood pressure 53 year old woman\n",
            "80997 0.3436238544618913 effects inderal propranolol la\n",
            "80998 0.929421356871013 good chestheart burn\n",
            "80999 0.8932604349814175 try sleep trouble breathing\n",
            "81000 0.3387424924085768 docusate sodiym usp stool softner infer medication klonopin inderal propranolol remeron\n",
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            "81043 0.8025350148233684 chronic non diagnosed chest pain uppeback pain chest pain center chest slightly left flareups 23xmonth\n",
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            "81061 0.6711271410455599 proper treatment lipid storage disorder\n",
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            "81064 0.8851939983151943 cause heart angeoplasty cathorization\n",
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            "81079 0.7597223730304089 hypertensive patient weigh 165 lbs physician prescribed nipride nitroprusside 3 mcgkgminute iv administer\n",
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            "81100 0.7317003216951317 preferred accurate test comes diagnosing coronary artery disease doctors\n",
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            "81124 0.8585223368912265 possibly cause difficulty breathing warm areas\n",
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            "81259 0.6728534588180137 diagnostic investigation congenital heart defect include\n",
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            "81271 0.874336539419544 occurs doctor prescribes cardizem 62 yr old man normal blood pressure\n",
            "81272 0.602883844621353 drug superior pradaxa warfarin metal bare stents history atrial defibrillation\n",
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            "81276 0.8478314187843145 heart condition called double outlet ventricle syndrome\n",
            "81277 0.4802757543030634 causes atrioventricular septal defect\n",
            "81278 0.6588968975953096 main symptoms deep vein thrombosis\n",
            "81279 0.8459058484978945 moderately severe cryofibrinogenemia requires treatment type specialist best consult disease considered form vasculitis\n",
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            "81846 0.9009241944533054 63 year old moms massive ischemic stroke having secondary edemaswelling 710 days later\n",
            "81847 0.897984842759689 diagnosed pcos pregnant husband taking micardis telmisartan ang im taking seretide thanks\n",
            "81848 0.8409848186002785 whats causes thickened leaflet heart valves ibe diagnosed type mvp\n",
            "81849 0.6042716383920963 relation mvpthickened leaflets patients height\n",
            "81850 0.8684890566051232 advise chest pain pain left breast scared\n",
            "81851 0.8951826128704408 eat sharp pain near heart swallow cancer talk doctor tube throat\n",
            "81852 0.7698398291946342 heart transplant anti rejection meds kidney disease failure\n",
            "81853 0.8950843816124733 makes person lose control emotions t like situation chest starts hurt short winded\n",
            "81854 0.8683256989344259 stip feel short breath walk house thoracotomy procedure weeks ago 3 lung collapses\n",
            "81855 0.9155456252560765 suggest carotid endarterectomy dec 20th need advice\n",
            "81856 0.9297614156679347 suggest 16 years old girl getting echocardiogram tomorrow going\n",
            "81857 0.8141721494309708 left arm numb eat feel chest pains\n",
            "81858 0.8246225506074749 advise chest pain fatigue dizziness muscle weakness know\n",
            "81859 0.6049061235058345 foot swelling minor injury\n",
            "81860 0.7589739352651019 high blood pressure high ldl cholesterol diabetes high hdl cholesterol\n",
            "81861 0.8450331672889622 normal pulse pressure range range 2535 standing times laying 4565\n",
            "81862 0.7247238152982882 hole heart condition causes tiredness breathlessness exertion enlarged heart\n",
            "81863 0.8104233824934378 normal pulse pressure narrow wide pp 2535 4565 2535 standing 4565 llying\n",
            "81864 0.7625338418284168 cause toes curl seize sleep horizontal accompanied numbness tingling poor circulation\n",
            "81865 0.8947590248533888 stop moving feel light headed gravity pulling soul downwards blood pressure examined help im dizzy im17yrs\n",
            "81866 0.6753150552331971 suggest taking hydrochlorothiazide feet ankle swollen\n",
            "81867 0.9256831698548319 sleep left heart pounds sleep left come right dont feel ideas\n",
            "81868 0.8659180853459222 vitamins taken womens health age 21 overall health nails skin bones hair teeth eyes heart womens body\n",
            "81869 0.926067816674877 im worried open heart surgery non invasive ways performing operations\n",
            "81870 0.8820087091491385 heart felt like quivered twice beat fast minute\n",
            "81871 0.9166488729333744 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 0.8175469948544741 cause sudden severe trouble breathing\n",
            "81873 0.7347649271908488 cause throat swelling difficulty breathing occur\n",
            "81874 0.6458706477640993 diuretic effects hctz hydrochlorothiazide gave weird effects lethargy chest tightness anxiety\n",
            "81875 0.8156359321761676 weird painish chest pain entire upper abdomen ultrasound polyps gallbladder nothin tired lots anxiety ideas\n",
            "81876 0.907047736247209 creatine kinase blood test looking\n",
            "81877 0.940037085197987 high triglyceride good way lower\n",
            "81878 0.9085295952372884 suggest 28yrs old male blood pressure 117 sys 88 dia 81 pulse\n",
            "81879 0.9124733460136497 feel heart beating believe anxiety think im depressed havent told doctor\n",
            "81880 0.8413933913726 mean mca aneurysm thrombus\n",
            "81881 0.5564920335329102 tests diagnose micro vascular disease diagnosis exclusion\n",
            "81882 0.8384687615937259 chronic af severe nosebleeds im warfarin aspirin antidote new anticoagulants options age\n",
            "81883 0.7678868269801572 high blood pressure medication licinopril hctz hydrochlorothiazide\n",
            "81884 0.7730606200893105 mitral valve prolapse abscess tooth swelling left eye gonna b ok\n",
            "81885 0.7787207279749111 normal reactions iodine ct angiogram\n",
            "81886 0.8678796834254103 heart beat 89 tho im sitting couch\n",
            "81887 0.8926592397659354 im 67 blood pressure 14060 got high low blood pressure\n",
            "81888 0.8562881883584678 involved post op endoscopic fluorocostomy mri brain cad flow studies 3rd ventriculostomy\n",
            "81889 0.8599494153523362 levaquin levofloxacin bad people diabetes warfarin nerve pain im 3\n",
            "81890 0.9051091511913567 drinking water help lower blood pressure help weight loss water drink help lower blood pressure\n",
            "81891 0.6817043360020221 surgery like bicuspid aortic valve disease\n",
            "81892 0.8939265490559427 perspire eat dont sweat lot feel face weird thyroid normal pots\n",
            "81893 0.8723591826102056 heart beats hear stethoscope lubwompdub normal womp sound echo mri valves\n",
            "81894 0.890271950649573 kind diet theyve cholesterol build heart\n",
            "81895 0.4889136154751505 use morphine acute pulmonary edema\n",
            "81896 0.9368420063396776 prefer patients blood pressure checked rest curious long rest checked recommended\n",
            "81897 0.8752815242669322 advise kinda wandering lead berry aneurysm punched head years ago\n",
            "81898 0.8950127168478118 wrong friend whos16 chest pain left going left shoulder rapid breathing weak\n",
            "81899 0.9354478274644209 dentist bp 13575 im usually 11990 anxious raise bp\n",
            "81900 0.9191366954099034 cause wake racing heart middle night causing pass happens sleep\n",
            "81901 0.9325619160207442 doctor asking upper gi endoscopyfor left breast stomach heart area link thx lot ad\n",
            "81902 0.9416535558366299 lisinopril lost 40 lbs gone extremely healthy 10 month check bp 2 days 12274 11negativesmiley68 wo takin lisinopril safe come im regulating\n",
            "81903 0.9163310895478227 anxious dr visits bp gone 160 came home 15 minutes came 130 whts real bp\n",
            "81904 0.8378115116759755 suggest small bruise red hard middle leg deep vein thrombosis\n",
            "81905 0.8493673740813703 causes fluid retention longer term nsaids mean long term\n",
            "81906 0.9042515157211278 high blood pressure eat salt free food\n",
            "81907 0.8742625908427075 walked time years mile blood pressure 12997 right walked waited 10 minutes checked 12185 normal\n",
            "81908 0.8978716348726474 changing quiet exercise heartbeat goes quickly feel chest stamina low im 24 yo\n",
            "81909 0.8575767011045301 mean lay feel heartbeat belly button\n",
            "81910 0.9047297567751174 walked time years mile checked bp right 12997 bad exercise came minutes later 12384\n",
            "81911 0.6841649220113075 infiltrated heart disease\n",
            "81912 0.6824618390639564 progression rheumatic fever\n",
            "81913 0.8401178259209255 wake hypotensive bradycardic\n",
            "81914 0.8601850895656479 face body significantly bloated drink glass water occurring situation years\n",
            "81915 0.7821298901150204 causes accumulationformulation body fuids severe cases 750 ml walls heart\n",
            "81916 0.9366924062793394 suggest 55 athlete bp mornings 9negativesmiley64 10770 standing night low\n",
            "81917 0.8974320281386055 advise open heart surgery 5 mos ago repair myocardial bridgeelse having problem surgery\n",
            "81918 0.8365744495693499 medical conditions cause low hemoglobin low mcv elevated liver enzymes im extremely fatigued excessive sweating fast heartbeat pai\n",
            "81919 0.8409701482382558 cause sharp right chest pain goes neck right face ear pain arm\n",
            "81920 0.8916757651276717 drying hair w towel b pain w stroke towel heavy step thing near new wisdom teeth identify tooth applying pressure w finger\n",
            "81921 0.8152609553366478 lay chest experience severe chest pain feel nauseous\n",
            "81922 0.9157986247678486 im 62 years old blood pressure 14484 high\n",
            "81923 0.8975777353930413 baby heart seen ultrasound wife gestational age 4 weeks gestational sac seen foetel node seen pls guide\n",
            "81924 0.8703961893842874 injecting vitamin b6 week help reduce ldl tg increase hdl regular walking age\n",
            "81925 0.9317598709949054 hurt 20 year old baby aspirin heart races anxiety especially 2 weeks period sad\n",
            "81926 0.9012764370596187 point stress echocardiogram coronory heart disease info appreciated\n",
            "81927 0.8453865450832315 stress echocardiogram narrowing mid lad gotten worse\n",
            "81928 0.8685504915349648 caffeine healthy persons blood pressure sky rocket\n",
            "81929 0.8572845268259445 subjective heart mean stepfather stints blockages bad heart takes blood thinner\n",
            "81930 0.897881101259702 whats normal ideal sitting pulse blood pressure men systolic diastolic pulse pressure\n",
            "81931 0.9163973030289126 taking blood pressure home palms reading online says palm theyre slightly lower reading\n",
            "81932 0.8110275805866948 im feeling like eye blurry related arterial dissection aneurysm\n",
            "81933 0.9255856071146833 advise open heart surgery year ago little energy arms numb easiily breathing trouble\n",
            "81934 0.9355388695563978 risks ftm taking testosterone ive t months 100 mg week started having chest pain\n",
            "81935 0.8726636525607715 recommend slight fever gradual weight loss chest pain haemoptysis chance tb cancer\n",
            "81936 0.8537505608575727 heart valve surgery blood type o\n",
            "81937 0.8564760495777803 diuretic start showing effect taking tablet\n",
            "81938 0.8348517285394301 low cholesterol healthy active 15 yr old fat tendons lubed\n",
            "81939 0.8418492847633371 meanings epa dha fish oil supplement fish oil good memory concentration\n",
            "81940 0.9572218772042282 blood pressure high need advice\n",
            "81941 0.8480611520073535 low blood pressure lay\n",
            "81942 0.8548548239381257 im 20 years old diagnosed hypertension\n",
            "81943 0.7761661112171786 2 drugs similar nitroglycerin\n",
            "81944 0.9410955178839087 effects taking 60 bills dianabol blue heart 20 days 2 bills day sleeping\n",
            "81945 0.9185864270550098 taking 60 bills 2 day danabol ds blue hearts 500 x 10mg steriods workout leads effects\n",
            "81946 0.9106663426068637 stand lines like roller coaster heart beats fast feel like im going pass isnt normal\n",
            "81947 0.27457284560192946 uncommon symptoms mitral valve prolapse\n",
            "81948 0.650152040723019 overdose inderal propranolol effects like\n",
            "81949 0.9227838548303412 anger bp 16790 taking rest 5 mints bp 13181 normal behaviour bp\n",
            "81950 0.9107742409989383 advise heart skipping beat causing pain head\n",
            "81951 0.7285870359454976 severe chest pain cough\n",
            "81952 0.3401303992748023 lightheadedness standingwalking associated orthostatic hypotension\n",
            "81953 0.8320123582557172 heart chest pain come constant random chest pain shoulder pain neck week\n",
            "81954 0.8742211367175154 whats good bc pill endometriosis treatment atherosclerosis prevention\n",
            "81955 0.8141841142506853 im experiencing frequent headaches hight blood pressure\n",
            "81956 0.8102678960060908 heart oral stomach cancer\n",
            "81957 0.8400450518974965 cause high levels creatine kinase low stomach acid\n",
            "81958 0.8008426488538871 suggest chest pain strenuous activity\n",
            "81959 0.814513142204336 severe pain abdomen kidneys chest pain left help\n",
            "81960 0.8483477802645988 eyebags pallor hand involuntary hand tremors orgasm im talking hours related pheochromocytoma\n",
            "81961 0.9205050418424275 ssri best tremors lightheadness ill feelings normal ct mri head clear heart normal gi\n",
            "81962 0.9376026941596327 cardiac mri total occlusion mid lad artery past think possible dont want cath\n",
            "81963 0.373671658471035 spinal strokes\n",
            "81964 0.8691993875119599 advise chest pains getting hit\n",
            "81965 0.9381612893235771 whats good poor circulation\n",
            "81966 0.8942827699475445 cough syrup having high blood pressure\n",
            "81967 0.7965983573064646 mean pinching heart pain eating slice cassava cake drinking 2 cups cold water mitral valve ai2\n",
            "81968 0.9144651779194984 periods irregular anybody know birth control cause water retention weight gain\n",
            "81969 0.8122982700213384 help continuous undiagnosed chest pain\n",
            "81970 0.6424781512293042 effects taking losartan potassium contol hypertension\n",
            "81971 0.8804542257339452 exercises best reduce fat fast quick\n",
            "81972 0.882976663988449 difference taking ur blood pressure ur upper left arm lower left arm higher lower reading\n",
            "81973 0.8986387353890327 recommend lisinopril 20mil atenenol 50 mil feel sick thought fever blood\n",
            "81974 0.8534809782396204 ssri best choice aspirin 81 mglosartan 50 mg cardizem cd 150 far interactions\n",
            "81975 0.8368308678515392 advise heart failure breathing difficulty\n",
            "81976 0.9347922172299289 hear heartbeats try sleep normal\n",
            "81977 0.4271572927261437 mechanism causes fluid retention gabapentin\n",
            "81978 0.8581022598702908 tests perform realizing hematuria urine cytology tests having polycystik kidney disease hypertension help\n",
            "81979 0.8025960178014064 exactly cause seizure preeclampsia\n",
            "81980 0.9365961843246154 suggest having problem long time heart stops milisecond freak\n",
            "81981 0.8293143924753661 cause sharp pain ribs breath deeply straighten lay shortness breath fair pain\n",
            "81982 0.8757562338595548 continue having sharp pains heart pecks reasons\n",
            "81983 0.9111520643401257 took high blood pressure medicine mistake\n",
            "81984 0.8937897264035082 suggest 19 yrs old year dvt swelling away stop wearing compression socks\n",
            "81985 0.8725753672125386 cause new musculoskeletal noncardiac chest pain l arm underarm nerve tingling healthy subjects recommended tests\n",
            "81986 0.9138684896879286 work matter lite stomach tightens bloats breathing goes awry simply hard time breathing normal workout usually finish y\n",
            "81987 0.9393586263907139 think heart problems\n",
            "81988 0.8270853051500263 advise chest pains quitting smoking\n",
            "81989 0.8531107124218275 kind heart murmur possibly\n",
            "81990 0.8529993337563385 advise stroke 2012 husband hospital 2 months hospital\n",
            "81991 0.8605039373688159 cause arms feel num little chest pain\n",
            "81992 0.6790102099628786 woman admitted 35wks gestation abdominal pains vaginal bleeding bp 110mmhg bleeding placenta immediate rx\n",
            "81993 0.8976264249609055 feel breathless eating gerd usually attacking night\n",
            "81994 0.8660921629646625 chest pain mean teenager\n",
            "81995 0.7312937853225548 suggest cough phlegm mild chest pain fever\n",
            "81996 0.7783979592612214 precent pregnancies preeclampsia blood clots stroke preemie worry im exposed increase chance\n",
            "81997 0.6228648906438013 pitting edema ankles feet low diastolic bp\n",
            "81998 0.8807587954874154 cause high levels tone stroke gabapentin help\n",
            "81999 0.945821469808235 advise want help understand stroke\n",
            "82000 0.8232975624533304 prognosis individual having vasculitis hepatitis c copd\n",
            "82001 0.9285537157464407 im confused different fish oil capsules actually giving\n",
            "82002 0.9334613677946122 advise want help understanding process stroke\n",
            "82003 0.8489081818819275 doctor spect brain heart\n",
            "82004 0.9082809297997094 vitamins help sexually high blood pressure\n",
            "82005 0.6306859545668545 drug interaction strepsils amlodipine benelyn\n",
            "82006 0.8244935783501995 causes people congenital cardiac condition suddenly af\n",
            "82007 0.8968393386939075 chest pain left arm pretty weak cuz im right handed play basketball week chest pain light ones\n",
            "82008 0.8076965175701976 advise heart valve replacement surgery\n",
            "82009 0.8364646467454806 breath feels heart gets pressed feel heart clearer diafragma normal dangerous\n",
            "82010 0.9174046730326608 recommend fib cardioverted rythmol propafenone family doctor gave azithromycin ok\n",
            "82011 0.9025835565266902 having diarrhea nausea stomach week wanting eat cause low bp\n",
            "82012 0.7768662924651561 headache chest pain severe dizziness associated high blood pressure\n",
            "82013 0.8682413815727433 im having bad chest pains\n",
            "82014 0.8113751087483552 happens heart breath air lungs\n",
            "82015 0.8129735655856547 dosage ranges bystolic nebivolol significant difference 5 10 far effective treatment\n",
            "82016 0.914001117138705 normal heart beets minute 13 yr old boy diagnosed adhd\n",
            "82017 0.8207219103798769 neurological problem cause chest pain arm tinglingnumbness numbness right head face fatigue\n",
            "82018 0.8687688794825924 im having difficulty breathing cough\n",
            "82019 0.9390197473884568 whats called makes nervous bp goes high\n",
            "82020 0.8563017565462004 cause bad chest pain thoracoscopy surgery\n",
            "82021 0.916659649862205 im having chest pain left nitroquick nitroglycerin time2 help\n",
            "82022 0.7347210316246945 friend tried kill night cutting femoral artery thigh razor blade bleed death cutting femoral artery\n",
            "82023 0.8861776457177571 high blood pressure drug spell sineprill\n",
            "82024 0.889525263966836 cold chest hurts middle night andor morning cause\n",
            "82025 0.8854988826558117 advise heart failurehow little fluid intake\n",
            "82026 0.8860686216031486 listen apical pulse hear gurgling heart sounds like mt stomach chest mean\n",
            "82027 0.9138365982527377 high blood pressure young adults\n",
            "82028 0.8991094223884257 cause inner left elbow pain fear blocked artery doc says heart fine cholesterol ok\n",
            "82029 0.8642282028701077 bad head neck face chest pains stiffness heavyness took xray tell im normal\n",
            "82030 0.8325695284098467 recommend elevated triglycerides looking experts opinion\n",
            "82031 0.48245358155288354 fluid lungs liver cirrhosis\n",
            "82032 0.8161171830620227 went xray glands chest clear pain chest collar bone ovr 6 mnths eck 6 mnths ago normal blood count normal\n",
            "82033 0.855665263009143 recommend heart angiogram 70 blockage left main coronary artery stint dr afraid block\n",
            "82034 0.9271004979299329 heart problems young age\n",
            "82035 0.8993933475066359 advise chest pains 18 year old female\n",
            "82036 0.8625370138572234 possibly cause sparklers eyes exactly like ones pregnant preeclampsia tubes tied pregnant\n",
            "82037 0.8907412847422371 cholesterol raised 5 6 im taking meds control\n",
            "82038 0.5786315902910338 headache intermittent pain aneurysm\n",
            "82039 0.9462398183665303 im having cardiac mri monday afraid reassure little x\n",
            "82040 0.5631952259445168 foot swelling foot\n",
            "82041 0.8073762762433591 cause intermittent feeling warmth chest throat breathe difficulty breathing feeling\n",
            "82042 0.8074689162516974 age develop heartvascular disease\n",
            "82043 0.7031044036115998 r possible alternatives anafranil treating severe purely obsessive ocd clomipramine zoloft sertraline lamictal propranolol trazodo\n",
            "82044 0.8825348225222368 caused sudden dizzy spell checked bp waking 10660 dizzy spell 1 hr later checked bp 11165\n",
            "82045 0.9068335811057742 dont bp meds prevent white coat syndrome bp 11565 home 15016080 dr appt\n",
            "82046 0.814173004721284 new born heart mur mur\n",
            "82047 0.9533227498401878 advise heart echo results help understand\n",
            "82048 0.8224949530986718 waking pain left gasping air onset sleep nightly occurrence def anxiety\n",
            "82049 0.16266377007638527 complications lisinopril hctz hydrochlorothiazide\n",
            "82050 0.6837243366556857 blood pressure fluctuate lot varies bethween 105 mmhg 114 mmhg sign lifethreatening negativesmiley\n",
            "82051 0.855271073895822 coumadin warfarin traveling come bout diarrhea stop diarrhea little effect inr\n",
            "82052 0.858741286603721 good lower cholesterol\n",
            "82053 0.9613819721507906 use help night terrors cause bp dropping continue work therapy\n",
            "82054 0.8949392686554383 cause pain left chest breast left sternum feels like pushing fingers doc says heart ok\n",
            "82055 0.9244818430180206 weird deep ache breast breast day happen think im scared heart issue breast\n",
            "82056 0.8562465042463078 chest hurts time wake morning headaches\n",
            "82057 0.8728049730176712 life expectancy 80 year old woman diagnosed pulmonary fibrosis diagnosed month ago bed bound\n",
            "82058 0.8905257730845081 cause burning tingling pain left breast pain covers entire breast doc says heart ok\n",
            "82059 0.45981366383285455 dvt deep vein thrombosis\n",
            "82060 0.9315523153644933 blood pressure consider perfect blood pressure 18 year old male possibly exact number positivesmiley\n",
            "82061 0.7900359104789576 wrong chest pains severe headache dizziness sore throat white tongue red spots\n",
            "82062 0.8865773035612637 advise im currently warfarin blood clot disorder know progress replacements\n",
            "82063 0.7547350095238734 120 capsules omega 3 capsules left expired 6 months edible\n",
            "82064 0.9350483240617817 high blood pressure teenaged girl help\n",
            "82065 0.8436096982690983 advise heart murmur risk\n",
            "82066 0.8600589048617542 worried brain tumor couple episodes deja vu months mild headache symptoms ldh 125\n",
            "82067 0.8417518740623193 dvt pain leg away\n",
            "82068 0.8827945550903542 tongue different stroke seizure suppose like wondering like\n",
            "82069 0.9062737825653481 recommend dvt right leg dissolved direct injection location dvt feel pain away\n",
            "82070 0.848609932035794 feel breathless tired uneasy afternoon eating afternoon evening\n",
            "82071 0.28574737696197966 recommend esophageal spasm coronary artery spasm\n",
            "82072 0.8914258292927307 advise chest pain like pressure gets worse left arm worried\n",
            "82073 0.9123830627700664 kind dr husband dizzy head gone heart dr took lasix furosemide having pro\n",
            "82074 0.8072699984572382 induced baby having pericardial effusion\n",
            "82075 0.8407803923891896 pain left lungs nights\n",
            "82076 0.8550972148390892 diet use high cholesterol\n",
            "82077 0.8851128357949338 foods shouldnt eat high cholesterol\n",
            "82078 0.8676396973894758 high bp cause hypoventillation e stimuation arterial baroreceptors cause decreased breathing rate\n",
            "82079 0.8636114960328077 advise heart disease nutrition\n",
            "82080 0.8444447073905949 high blood pressure pulse surgery\n",
            "82081 0.6070282957847617 hives swollenpainful joints chest pain fatigue unexplained severe bruising\n",
            "82082 0.24749982921493496 atrial septal defect repaired\n",
            "82083 0.815573421719666 high blood pressure nosebleeds\n",
            "82084 0.8720528123499023 high blood pressure pills codiovan suggest natural alternative\n",
            "82085 0.8658081036945818 causes burning pain left shoulderblade breast tingling fingers ache arm comes goes doc says heart ok\n",
            "82086 0.9187777427542222 im 14 year old girl think heart problem\n",
            "82087 0.9006210313384873 advise heart valve surgery blood type o\n",
            "82088 0.9024051859094827 im year old female born hole heart think healed\n",
            "82089 0.9258530675164416 exercise help young people enlarged hearts\n",
            "82090 0.8895331475701618 high blood pressure early pregnancy\n",
            "82091 0.7957032721316332 heart failure cured\n",
            "82092 0.788210555745489 advise chest pressure inversions\n",
            "82093 0.9470842513461426 high blood pressure 72 year old help\n",
            "82094 0.7948964199970943 exhale heart slows dramatically inhale speeds dramatically 16 years old male sportly unhealthy\n",
            "82095 0.9024208377104865 strong pulse carotid arteries mean weak mean high blood pressure cause strong weak pulse\n",
            "82096 0.3833271108125175 good homeopathic medicines calcified aortic valve aortic stenosis\n",
            "82097 0.8502854621964148 high blood pressure anxiety\n",
            "82098 0.9187111200972018 taking blood pressure exactly mean arm hearts level tried different tables got different readings\n",
            "82099 0.642281290965218 uctd cause chronic shortness breath mild exertion treatments alleviate breathlessness\n",
            "82100 0.7557009832211395 use bazuka circulation problem effect collagen vascular disease btw verrucas\n",
            "82101 0.9093558253580504 papvr abnormalities heart lead right heart failure rv enlarged normal function pressure lv normal\n",
            "82102 0.8585845385893056 palms r shiny scleroderma happened twice ive reynauds ive noticed 2 tiny red spots hands\n",
            "82103 0.9000211640195502 high blood pressure cause s cure\n",
            "82104 0.9102565772153055 high blood pressure birth anxiety attacks baby blues anybody suffered\n",
            "82105 0.8628667401368382 quantity beans daily help reduce ldl male particular\n",
            "82106 0.8944694812270821 high blood pressure athletes\n",
            "82107 0.8574709034509652 high blood pressure surgery\n",
            "82108 0.7962835799241734 chest pain upper left breast\n",
            "82109 0.8631963518675096 high blood pressure\n",
            "82110 0.7225133683634433 happens case vagal cardiac inhibition\n",
            "82111 0.9224369457505808 advise im currently taking lipitor atorvastatin love grapefruit kill glass\n",
            "82112 0.8631963518675096 high blood pressure 190110\n",
            "82113 0.87780351678734 cause pain left shoulderblade ribs left chest braline doc says heart ok pain arm fingers\n",
            "82114 0.7848688270530265 experiencing difficulty breathing sitting improves little standing emergent\n",
            "82115 0.8304613089677879 exercises running deteriorate mvp mr\n",
            "82116 0.8907888923482732 time shower feel like breathe good chest tightness\n",
            "82117 0.890627849967127 went hospital blood pressure 13991 wheni checked worry\n",
            "82118 0.875516993310087 sitting lying feel heartbeat stomach doctor said normal fit having flat stomach\n",
            "82119 0.8737960067553875 cause stabbing pains center chest breasts edge lower left breast doc says heart ok shoulder pain\n",
            "82120 0.8368780794254762 advise heart disease cancer nervous disorder\n",
            "82121 0.8068509883940919 use bazuka gel treat verrucas circulation problem effect collagen vascular disease btw\n",
            "82122 0.8706769811281224 normal size aortic valve 1 7 cm descending im small 27 year old female weigh 125 height 54 normal\n",
            "82123 0.8291021593931845 hypovolemic shock secondary gi bleed\n",
            "82124 0.8774038515345611 advise im worried enlarged heart heart transplant\n",
            "82125 0.9138065329079904 blood test check rheumatic fever come boy\n",
            "82126 0.7830273018491904 raynards syndrome poor circulation feet\n",
            "82127 0.9038561437665494 suggest eating disorder heart pain eating tell\n",
            "82128 0.9154536280200906 cause bp change 1156812575 13162\n",
            "82129 0.39746395570364856 symptoms problem trivial pulmonary trivial mitral regurgitation worsened\n",
            "82130 0.8595612758152449 causes sharp stabbing pain directly breasts doc says heart ok pain middle upper muscular anxiety\n",
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            "82141 0.44236667652333295 signs aortic anuersym\n",
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            "82152 0.9194303173028597 im looking book cardiac catheterization pressure curves\n",
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            "82183 0.807213948659572 cause odd stretching vibrating sensation directly breasts lasts 5 seconds pain fear cardiac issue\n",
            "82184 0.8424194596791503 im 85 yr old male chronic afib 1995 midly impaired l vent systolic func mod severely\n",
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            "82213 0.8825010819221804 heart surgery 6 month ago frozen shoulder right\n",
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            "82330 0.8646520405198178 dad needs heart lungs transplant negativesmiley\n",
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            "82332 0.967155122277109 advise im looking book cardiac catheterization pressure curves help thank\n",
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            "82354 0.8580194862420019 causes second vibrating sensation right chest ther symptoms slightly congested fear cardiac pcp says heart ok\n",
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            "82391 0.8711313800006988 causes 5 second squeezing pain directly breasts symptoms worry cardiac issue pcp says heartis ok seek cardiologist\n",
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            "82676 0.8775488161068613 mean moms blocked carotid artery starting act different\n",
            "82677 0.9331449723846544 suggest friend low blood pressure\n",
            "82678 0.88072623120475 suggest heart pounding hard\n",
            "82679 0.9345355776546193 happens person 40 chance surviving heart pass surgery bad\n",
            "82680 0.7821698750145982 having chest pain left pain dizziness blurry vision heavy nose bleed headaches nausea\n",
            "82681 0.9146495195092137 happens congestive heart failure takes medicine long live\n",
            "82682 0.9011654254807763 happens woman hbp meds wants pregnant safe hbp meds\n",
            "82683 0.9045060382423422 suggest hdl high good ldl bad 18 points high significant grand sceme\n",
            "82684 0.9379702603997114 happens icu persons heart beat going low person heart beat high\n",
            "82685 0.834961843911734 normal angiogram puncture look like bit swelling bruising tenderness\n",
            "82686 0.9317705469738397 suggest heart beats fast like stopping\n",
            "82687 0.4050897131696617 lactulose 30ml interact medication clonazepam inderal propranolol remeron omperazole\n",
            "82688 0.7194379924385153 suggest mom diagnosed 9mm cerebral berry aneurysm\n",
            "82689 0.7533053907330037 cause fluid retention 1 leg\n",
            "82690 0.7131532833579022 belgium lozartan available use lisinopril 20 mg\n",
            "82691 0.8672537358134417 suggest father died liver cirrosis heart surgery knew problems liver\n",
            "82692 0.8834061319697812 took blood pressure pill accident im scared help took 6 hours ago took accidently\n",
            "82693 0.7160437770362653 happens someones carotid artery got nicked lose eyesight andor paralyzed\n",
            "82694 0.8467813720587896 im hearing heartbeat sounds ears\n",
            "82695 0.9607809728999808 suggest 18 yrs old healthy experiencing heart breathing complications help need advice thank\n",
            "82696 0.5325692054475489 suggest doctor prescribed deralin neurally mediated hypotension nmh\n",
            "82697 0.8772629479681627 advise heart sends short electric shock body\n",
            "82698 0.5622968460199697 cardiovascular endurance muscular strength\n",
            "82699 0.9158350202183342 suggest husband triglyceride level 370 age 31 reason control vegetarian\n",
            "82700 0.8551651567130474 18 bad fish oil\n",
            "82701 0.5520259548053905 angle thoracic curvature spine lead breathlessness\n",
            "82702 0.8829295456563916 given proscribed medicine vastarel 35mg\n",
            "82703 0.5870696128395412 heartbeat uneven painful\n",
            "82704 0.94516196749397 17 blood pressure high doctors said dont 90 play football\n",
            "82705 0.5553955154829724 infection bypass surgery\n",
            "82706 0.9041084038482537 suggest allergies right dont think thats problem chest feels tight try breath breath\n",
            "82707 0.7379934344943443 causes bowel movements sleep vertigo loss balance fatigue exhaustion shortness breath migraines diarrhea shooting pain neck\n",
            "82708 0.9492176877052525 reading blood pressure dr tend worry systolic diastolic know important\n",
            "82709 0.8207281308287945 mean blood clot brain incubated stroke\n",
            "82710 0.8416647382258602 normal blood pressure male aged 62\n",
            "82711 0.8963158410020513 high blood pressure maintenance advice\n",
            "82712 0.8977310209541444 suggest heart feels funny stress related\n",
            "82713 0.8057287249386799 pcos past dvt eligible hormonal treatments help conceive\n",
            "82714 0.9028800346527673 suggest sister hemorrhagic stroke questions\n",
            "82715 0.9264510136581094 happens young heart heath issues overdose nitroglycerin\n",
            "82716 0.8932245317129608 leadingmain cause heart disease u s\n",
            "82717 0.48627898612735065 wellbutrin bupropion xl 150mg propranolol sr 60mg ok\n",
            "82718 0.9442036848505481 advise heart pounding skipping taking life help\n",
            "82719 0.9137758933288296 went er heart feels like stops big thud goes normal happens day tests normal\n",
            "82720 0.9281420187507774 suggest sis having laser heart surgery dangerous\n",
            "82721 0.8995871632872927 happens heart bit rate increasesdecreases performance level increasesdecreases\n",
            "82722 0.943776621694194 happens u smoked heavily long time lead emphysema\n",
            "82723 0.8855356935668153 atenolol cause heart beat head\n",
            "82724 0.8732767250397375 im 31 aneurysm aorta im scared info share\n",
            "82725 0.8533517626055203 laying sun long medication feel confused little blurry vision clonazepam inderal propranolol remeron laying sun\n",
            "82726 0.8409627897177284 u train extremely hard ur arterie constrict bigger thinking aorta carotid arteries pushups example\n",
            "82727 0.4542078745806603 r stressors makes arteries constrict constrict training aorta carotid arteries constrict\n",
            "82728 0.7670471266411792 suggest mother coma stroke possible aneurysm moyamoya\n",
            "82729 0.8188769932172743 advise chest feels tight breath\n",
            "82730 0.91239180304853 causesremedies high bp young age\n",
            "82731 0.9526970025396633 suggest dad advanced heart disease long think left live\n",
            "82732 0.9472651247895207 advise heart echo results help understand results\n",
            "82733 0.704230112899523 wellbutrin 150mg sertraline 50mg lisinopril 20mg atenolol 25mg nexium esomeprazole 40 mg internal med doc said helping high doses\n",
            "82734 0.5812644816401737 symptoms lymphoma affects thymus gland chest pain symptom lymphoma\n",
            "82735 0.8640235464639182 right caroitd artery brain aneurysm coiled year ago wonder pain right base skull connected\n",
            "82736 0.9158856267653249 chances person suffering diabetes high blood pressure loosing sight forever advice assist improvement\n",
            "82737 0.9512954501265727 suggest mother ischemia want know best medical treatment reversible\n",
            "82738 0.9169091202130402 suggest dad 75 years old bp reading 2weeks 14020 13010 mm hg cause\n",
            "82739 0.8820860917384786 rib pain ibs right left pain\n",
            "82740 0.8132766648688432 effect leucocyte 17800 blood 65 year male allready suffering low bp suger backpain kneepain gastric enlarged prostate\n",
            "82741 0.8969252702230355 happens 18 open heart surgery tattoo\n",
            "82742 0.7941831915699402 suggest son diagnosed heart murmur turned 3 thought murmurs diagnosed birth\n",
            "82743 0.9403077487016318 chances 22yr old females heart stop bad health aniexty worried heart\n",
            "82744 0.8420348506610056 suggest doctor ranexa ranolazine wtat\n",
            "82745 0.7745767370951802 having dizzyness fluctuating heartbeat pressure\n",
            "82746 0.87889993542371 sleep wake morning chest pain echo mri cardiac stress test ecgs related\n",
            "82747 0.8872839875352625 suggest ribs touching heart answers\n",
            "82748 0.8131324627418798 white portion egg reduce fat\n",
            "82749 0.8551985906209298 best ways treat anxiety induced white coat hypertension blood pressure pills anxiety meds therapy\n",
            "82750 0.736633055028594 blood pressue pill norvasc amlodipine5 miligrams daily\n",
            "82751 0.9170552808652684 suggest heart beating fast\n",
            "82752 0.8896816671172245 high cholesterol getting thinner weaker day day\n",
            "82753 0.934273072870863 happens im having trouble breathing mold huge deal\n",
            "82754 0.8495089429351154 possible causes pad 35 y o w prehtn mild ed sx abi penile doppler borderline cardiologist look\n",
            "82755 0.9488137591907025 suggest father aortic dissection wanted know typically long people live\n",
            "82756 0.921824502768217 suggest husband 41 yrs sr triglycerides 210 vldl 42 signs reading n 2 deal abou\n",
            "82757 0.8890722254976555 suggest heart randomly starts racing reason\n",
            "82758 0.8454895985214113 vitamins supplements help chronic cluster headaches safe verapamil combination melatonin vitamin b dose long\n",
            "82759 0.861889604750444 happens diagnosed mild heart condition possibly disqualified army\n",
            "82760 0.7934096088318895 safe medication hypertension breastfeeding mother\n",
            "82761 0.9277110728539724 catapres clonidine heavy sweating im starting drink green tea help weightloss green tea stop catapres clonidine working\n",
            "82762 0.8458036068113199 inflamed ribs bad chest pain help\n",
            "82763 0.9156086292421141 im standing hr highter sitting blood pressure lower whats wrong\n",
            "82764 0.9267620592622218 25mg zoloft sertraline hurt baby took week conception 10mg propranolol\n",
            "82765 0.9368514533180299 suggest father poor diet having stent heart\n",
            "82766 0.9128143679731404 2 weeks having heart palpitutions dizzyness\n",
            "82767 0.5283084435494038 leads retinal vasculitis\n",
            "82768 0.9664087053591408 good help raise blood pressure norma 9negativesmiley59\n",
            "82769 0.8382240188848991 left arm blood pressure low 8050 right arm 12180\n",
            "82770 0.9156602036871178 happens normal heart sounds represented lubbdupp lubbdupp heart sound represented lubbduppshhh represent\n",
            "82771 0.8218765216690567 suggest chest hurts bike crash\n",
            "82772 0.938539732637317 suggest mother having high readings bp lately maintenance drugs 20 years\n",
            "82773 0.9130272260992636 happens thallium scan normal blood flow necessary echocardiography rule heart disease hypertensive patient\n",
            "82774 0.8722116989719004 suggest father takes sutent sunitinib stage 4 kidney cancer congestive heart failure meds\n",
            "82775 0.8514503980800104 suggest dad enlarged heart age 69 dos donts\n",
            "82776 0.8881374692721414 worried multiple orgasms damaging heart masturbated 10 times yesterday feeling ill today\n",
            "82777 0.7479525679485007 happens someones carotid artery compressed long die\n",
            "82778 0.9262998497125686 doctor tell listening heart chances 22yr old female heart problems\n",
            "82779 0.6575456673643195 suggest cpk levels abnormally\n",
            "82780 0.884661570851304 happens hole heart wil happen\n",
            "82781 0.8207212722368293 conditions cause chest wall ribcage pain upper neck pain comes goes\n",
            "82782 0.9059262901122122 chance 22yo females heart stop beating\n",
            "82783 0.9277212222229964 happens use nitroquick nitroglycerin cause heart problems\n",
            "82784 0.8425735230298095 suggest inr rate 1 4 supposed 23 need warfarin\n",
            "82785 0.9047088183822775 suggest inr level today 6 8 dangerous\n",
            "82786 0.8739591985374559 happens sgpt increased 89 need continue plendil felodipine 5mg lower\n",
            "82787 0.8290039736725068 perfect level ldl body\n",
            "82788 0.8890230948661193 sharp pain arm pit left brest bone open heart surgery help\n",
            "82789 0.9263069555792827 doctor tell listening heart tell sort heart disease\n",
            "82790 0.7844681451868036 suggest mom diagnosed bullous emphysema general doctor specialist\n",
            "82791 0.7417784821914991 suggest husband 3l oxygen pulmonary fibrosis sats 9094\n",
            "82792 0.8580454718762097 happens lungs heart fluid able recover completely\n",
            "82793 0.8556277961440083 thoughts palio diet increase meats affect ldls risk chd long term\n",
            "82794 0.8126851217387006 suggest mom dagnised emphysema\n",
            "82795 0.6758364242217201 total cholesterol 215 high hdl ldl triglyceride normal\n",
            "82796 0.6369750613122913 chest pain vomiting\n",
            "82797 0.63796190252208 suggest ldl 167 cholesterol 247 statis causes muscle wasting\n",
            "82798 0.9176841153130618 17 guy thats blood pressure high\n",
            "82799 0.9051189908253545 happens heart moves place die\n",
            "82800 0.6833604207619874 happens cardiologist told carotid arteries blocked\n",
            "82801 0.8738003773010568 suggest mom aortic valve replacement surgery shes afraid gets stressed blow\n",
            "82802 0.8939278740450238 suggest grandma hospital having chest pains\n",
            "82803 0.8810960586168513 heart flutter trying sleep bend heart tests normal anxiety flutters everyday\n",
            "82804 0.7538730432764866 suggest son chest xray results says small aortic arch aortic knuckle\n",
            "82805 0.9027272502115008 bulimic ive noticed dizziness bad days mean heart affected\n",
            "82806 0.892886955929068 im taking atenolol50 mg amlodipine 5mg ramipril 2 5mg andchlorthalidone12 5mgis ok high bp\n",
            "82807 0.8701253214276541 suggest chest hurts breathe help\n",
            "82808 0.9009718524567418 happens feel heart areas like stabbedsharp pain heart disease\n",
            "82809 0.7662473619262281 happens elderly andor disability hampered movement heart condition\n",
            "82810 0.895037170489846 suggest doctor told cholesterol 350 dangerous\n",
            "82811 0.711812642057679 warfarin long term treatment deep venous thrombosis heparin\n",
            "82812 0.8729965592631329 suggest ribs hurt touch\n",
            "82813 0.7875748250766815 suggest mom mitral valve prolapse kind cold medicine\n",
            "82814 0.9051161054174879 suggest mother having heart surgery moment anxious\n",
            "82815 0.886227388534474 happens ranexa ranolazine kill\n",
            "82816 0.7871077541966945 happens 10 units blood bleeding aneurysm concerned\n",
            "82817 0.8196955939040286 drug high cholesterol help tendon pain high cholesterol causes\n",
            "82818 0.8102729959255889 suggest husband gout helphe eat basicly getting swollen feet ankles fingers\n",
            "82819 0.9400536767962758 suggest mother blood pressure dad sadly diabetes think type\n",
            "82820 0.8157774190717783 drinking alcohol bring pain portal vein thrombosis\n",
            "82821 0.6600804147214203 causes sharp upper abdomen pain history portal vein thrombosis inflamed bowel\n",
            "82822 0.8839759155003607 suggest dr 3 mg clonidine 50mg trazadone sleep affects\n",
            "82823 0.8614907997421335 taking 320 mgs aspirin 4 hours prior prior test affect results d dimer suspected dvt\n",
            "82824 0.8437386977077191 suggest professor uses phrase lipid metabolism mean\n",
            "82825 0.9565272336611104 suggest cholesterol pretty high doc prescribed fenofibrate good diet follow\n",
            "82826 0.7069860666292945 happens emphysema use nicotine inhalers damage lungs\n",
            "82827 0.7693510964691525 suggest child hlhs final surgery fontan procedure mild leaking tricuspid valve\n",
            "82828 0.6653661059411101 suggest grandson diagnosed ebsteins anomaly dangerous\n",
            "82829 0.9258827165974661 suggest heart feels weird taking blood pressure medicine\n",
            "82830 0.916597389261859 suggest friend 1 month old son passed becuse heart problem\n",
            "82831 0.9167630659883265 17 years old anxiety bad worry heart dying reason heart bothers\n",
            "82832 0.9255834083041156 heart strong slow beat startled whats deal\n",
            "82833 0.797519479635433 happens hypertension control guaranteed stroke\n",
            "82834 0.9174564041105386 suggest father minor stroke doctors notes mean\n",
            "82835 0.5945643745639524 lisinopril cause lethargy\n",
            "82836 0.8969810579726053 suggest husband bleeding bowels low blood pressure fatige tired pale w\n",
            "82837 0.6297057871031173 happens cardiac output increases decreases\n",
            "82838 0.8827103702863258 suggest chest hurts hard breath help\n",
            "82839 0.918719335625587 suggest father late 4th stage emphizima late 3rd early 4th stage adenocarcinoma small cell lung cancer\n",
            "82840 0.7446607240270896 happens blood clot leg vein cause stroke artery\n",
            "82841 0.6290666791764513 suggest dr prescribed 50 mg losartan 25 mg hctz hydrochlorothiazide normal\n",
            "82842 0.7700520880421554 person heart biting fast feet capillaries explosed feet uper swelled face colour yellow means\n",
            "82843 0.7830438209977049 suggest chest hurts swallow\n",
            "82844 0.8864964750092695 comfortably sitting amidst nice discussion fainted lost consciousness seconds regaining checked bp sugar ok\n",
            "82845 0.7588985189319478 suggest chest hurts inhale deeply\n",
            "82846 0.9469333176566 suggest mother 75 years old taking bp tablets eye drops today telling help\n",
            "82847 0.8796080445821529 taking 1mg klonopin 25mg zoloft sertraline 50mg inderol blood pressure ok 1 12oz beer\n",
            "82848 0.843689939354204 suggest husband c o p d emphysema advanced\n",
            "82849 0.9258668776179024 water pill know need\n",
            "82850 0.8354409164516292 recommend angioplasty years ago stent coronary arteries takes lipitor atorvastatin 20 day\n",
            "82851 0.9514036995312054 important bp med time day taking times cause readings\n",
            "82852 0.9070883521984692 18 years old female blood pressure 102 70 pulse 77 normal age\n",
            "82853 0.9387307570455783 happens stops taking high blood pressure medicine 3 days happen\n",
            "82854 0.9126971883831211 happens apply nitroglycerin patch positive results minutes short\n",
            "82855 0.8289775410793455 happens letf vetebral artery smoke chances stroke\n",
            "82856 0.9151997921746119 suggest left lat muscle cut heart surgery 17 days old\n",
            "82857 0.6712432328480021 cough emphyzema\n",
            "82858 0.9234881252104093 suggest cholesterol 204 high im 36 years old im female lower cholesterol\n",
            "82859 0.8083956852154155 outcomes expected lipid profile provide 20 calories fat 60 carbohydrate\n",
            "82860 0.9265325398733208 heart tommorrw want know iv like\n",
            "82861 0.9055472854900446 happens high blood pressure 8556\n",
            "82862 0.6753683717416521 increasing left atrial pressure effect pulmonary circulation\n",
            "82863 0.910963196746551 suggest mom suffering 100 stenosis s s2 racepinephrine left anterior descending heart d1 showing 4050 st\n",
            "82864 0.8707260142798596 wt 210 ht 5ft smoker bp stress test 13090 went high 190110 reached level 5 test terminated fatigue normal\n",
            "82865 0.9259588963896791 time aid heart burns scalds\n",
            "82866 0.8138457354736891 suggest heartbeat irregular count symptoms caffeine od\n",
            "82867 0.789357027207693 heart condition ablation af performed\n",
            "82868 0.9250754764745718 best time bp reading worst time\n",
            "82869 0.9044547456071765 losing water weight slimmer lost 8 lbs taking chlorthalidone 10 days\n",
            "82870 0.2303288504553914 use plavix clopidogrel plavix clopidogrel\n",
            "82871 0.6977243841037247 suggest cerabal aneurysm coiled success percentage having coiled\n",
            "82872 0.5837057619204413 happens mitral valve prolapse dizzy spells vertigo lay\n",
            "82873 0.6542693419590383 indigestion chest pain mild breathing discomfort\n",
            "82874 0.9031779460765155 post open heart surgery patients strict io daily weights\n",
            "82875 0.7565012972914137 happens man cardiac reserve 400 maximum cardiac output 20 lmin resting cardiac output\n",
            "82876 0.8414364301969546 patients marfan syndrome feel pain chest normal complain pain moves upward shoulder\n",
            "82877 0.8657923882715337 arm hurt taking bp felt kind numb think cuff tight arm red reason\n",
            "82878 0.5480094952494858 happens mvpmitral valve prolapse antibiotic surgical procedure bacteria reaches heart mitral valve\n",
            "82879 0.9386714039076509 happens heart patient troponic test good need echo doppler test\n",
            "82880 0.8535481438183894 mean aortic dysplastic probably 2 cusps\n",
            "82881 0.8320673295699188 suggest dr prescribed candesartan hctz wellbutrin bupropion took pills 4 half hours ago\n",
            "82882 0.9703371380005666 best natural treatment mid sept emphysema rs heart failure dont oxygen bronchodilators doc refused saying wont work\n",
            "82883 0.8040453830518861 suggest dad lateral wall ischemia icu\n",
            "82884 0.6485839945415257 symptoms symptomatic myocardial bridge cause\n",
            "82885 0.8062660514932445 test reliable coronary fistula echo ct scan angiography catheterism thanks\n",
            "82886 0.8924310183663438 causes 15 second throbbing sensation small area chest center left breast fear cardiac pcp says heart ok\n",
            "82887 0.45135856186213125 effects gardasil contraindications gerd average 1208013090 bp\n",
            "82888 0.8390339758951894 cause pain left sholder blade heart\n",
            "82889 0.8573080984426396 cause pain lower shoulder blade area heart\n",
            "82890 0.5975558925557835 serum calcium ace levels increased sarcoidosis\n",
            "82891 0.8787312303675967 case ascites difficult breathe\n",
            "82892 0.9009262890997811 walk severe pain chest short breath bp 190140 10 minutes later bp drop 13095 wanted faint 58 years left ventricel hypertroph\n",
            "82893 0.6430913229589711 tests accurate diagnosis myocarditis pericarditis\n",
            "82894 0.8709353168143941 obgyn treat chronic headaches pregnancy high blood pressure isnt issue\n",
            "82895 0.8396819752075582 suggest left ear ringing left eye bit hypertropia condition stroke\n",
            "82896 0.9482333278307636 life expentancy heart working 23 possible cure world plz explain\n",
            "82897 0.8389540470433263 cause low triglyceride levels low thyrotropin levels triglyceride level 42 thyrotropin level 1 04 results 4 5 14\n",
            "82898 0.8029990699359355 wake having urinate 34 hours profusely sweating heart beating rapidly anxiety eyes lips severely dry\n",
            "82899 0.9266067481126092 pcos obgyn rei right specialist doc said going endo anymore\n",
            "82900 0.6621048507530022 symptom dvt blood clits leg\n",
            "82901 0.7226538015314168 possible effects drinking caffeine fluoxetine 20mg\n",
            "82902 0.77355205079109 possibilities wrong severe rib chest pains pain lower abdomen\n",
            "82903 0.9222846573020579 wbc 8 1 esr 33 fever white sputum loss voice breathless 3040 sec cough 3 weeks took antibiotic 4 days relief help\n",
            "82904 0.8270453139942581 physiology stress anxietystress causing daily jaw arm pain chest pain happen\n",
            "82905 0.8844096718204163 considered high blood pressure teens\n",
            "82906 0.8109430626054575 better med prednisone sarcoidosis lymph nodes 17mm cause diabetes hard control\n",
            "82907 0.7403504983385041 mri contrast dvt ive knee calf pain ddimer ultrasound came normal veins feetleg bulging\n",
            "82908 0.8782708835999656 feeling fatigue time body parts going numb isolated dextrocardia\n",
            "82909 0.9140519291173894 suggest heart beats fast late night wakes\n",
            "82910 0.5717547313333202 suggest cardiologist said prolapsed mitro valve\n",
            "82911 0.8331709240277072 blood pressure high y hands feet swell\n",
            "82912 0.5929553002863235 mean mild reversible myocardial ischaemia involving basal segments inferior inferolateral walls\n",
            "82913 0.7531341035983417 tell marfan syndrome\n",
            "82914 0.8905009830787333 happens person heart right chest disease\n",
            "82915 0.8958385817313707 blood infection spread heart long survive\n",
            "82916 0.8284405539814377 pain dvt localized widespread pain foot knee thigh 27 yo female risk factors travel\n",
            "82917 0.917654566039726 im erection heart beats fast lose erection wake morning feel heart beats fast\n",
            "82918 0.6198957556147828 causes hypotension exercise exposure heat dehydration thyroid cardiac pulmonary endocrine bp normal\n",
            "82919 0.8626223966263411 took talwin pentazocine promethazine long\n",
            "82920 0.8681871045488294 iron level 70 tibc 345 iron sat 20 ferritin level 138 mean high blood pressure pcos\n",
            "82921 0.8472702883436516 having short breath n chest pain\n",
            "82922 0.7456732065341669 omega fatty acid content air popped popcorn omega 3 6\n",
            "82923 0.7505114198515285 omega 3 6 regular average vanilla ice cream\n",
            "82924 0.8961077247665123 watch diet high cholesterol foods cut\n",
            "82925 0.9041852633443433 normal blood pressure 27 yr old female\n",
            "82926 0.8076328576227689 link heart disease gum disease\n",
            "82927 0.8986985266455171 exercising 120bpm blood pressure 17175 bad\n",
            "82928 0.9391847727684735 happens heart disease like help answer questions greatly appreciate 1 disability\n",
            "82929 0.7377820422222732 mechanism testosterone raise bp\n",
            "82930 0.9142716082055482 drinking plenty water reduce water retention help abs antidiarrhea drugs cause water retention sick want better bod\n",
            "82931 0.6918035615981567 relieve lower anxiety working zoloft sertraline 50mg metformin 500mg\n",
            "82932 0.7212195784024504 test cpspshave extremely terible hedaches 2nd stroke hemorhagic\n",
            "82933 0.7965475400690886 expect obgyn rei appointment pelvic exam nervous negativesmiley\n",
            "82934 0.8796213272271498 medication treat low blood pressure\n",
            "82935 0.9126278756935933 told miscarriage heartbeat went followup 1 week later baby grew 1 week hcg rising growing dead baby\n",
            "82936 0.8789372255414218 eat low bp\n",
            "82937 0.8680245010772375 suggest grandma 2 massive strokes\n",
            "82938 0.9048947691390241 ones blood pressure high moment\n",
            "82939 0.7426679496123693 happens ws sebum lipid eyelashes tears totally evaporate\n",
            "82940 0.7381205339296885 difference dandruff ahd seborrheic dermatitis large flakes certain areas scalp especially edges\n",
            "82941 0.8820929752988249 heart skipping beat causing pain head\n",
            "82942 0.8995016868254884 good diet reduce high blood pressure\n",
            "82943 0.8122105252250409 likely causes sudden eye ear pain severe sharp chest pain clammy short breath low bp higher pulse pain base skull\n",
            "82944 0.8853074690127211 kind diseasesconditions mid mri rt abd pain rt flank pain rt rib pain 8 months 3 abd cts liver cysts\n",
            "82945 0.6307836810050446 normal d dimer rule dvt pulmonary embolism\n",
            "82946 0.8840268650162709 age certain heart conditions inheredited heart conditions treated\n",
            "82947 0.8468519960530551 weird feelings lower stomach lay stomach feels painful directly middle short breath white discharge\n",
            "82948 0.834868521408898 breathe feel asthma coming frequently didnt chest feels tight nose dry fills mucous\n",
            "82949 0.5698694496084009 issues involving altace\n",
            "82950 0.8980055027771561 cause sudden rapid heart race bad shaking vision blackens completely dizziness loss balance lasts 30s3 min blue\n",
            "82951 0.8913831140015088 800mg phytosterols 2g daily fish oil supplement considered good cholesterolcardiovasciular health risky\n",
            "82952 0.8691201863249749 constantly feel heart beating chest normal\n",
            "82953 0.8660393492527897 diabetes bcos gall stones high level cholestrol causes gall stones form clear doubt pl\n",
            "82954 0.6577926688159722 medicines maintaining highblood pressure\n",
            "82955 0.8022774451687351 chest pain right shoulder\n",
            "82956 0.9086602635861292 normalize triglycerides im 31years old thanks\n",
            "82957 0.7923970619776627 causes low blood pressure\n",
            "82958 0.7823763374726681 causes fatigue night sweats chest pain red painful wrinkled toes vitamin d deficiency leukocytes urine\n",
            "82959 0.8645665358956923 causes ache right breast near sternum pcp says heart ok pain intermittent lasts seconds neck pain\n",
            "82960 0.7448784880034944 increasing potassium levels help lower cholesterol\n",
            "82961 0.7934859298462789 lipid lft tests 30 days results\n",
            "82962 0.8950983985366312 cause drooling sleeping having heart problems uising bisobel\n",
            "82963 0.9241312712804503 mean little kid having hard time breathing\n",
            "82964 0.9262868704398839 kids having hard time breathing\n",
            "82965 0.8588132898475122 chest hurt time workout\n",
            "82966 0.8461988133561953 happens lung function test fine shortness breath\n",
            "82967 0.9168349200778215 heart problems picked heart problems 23yo female\n",
            "82968 0.7634480047728167 sore throat led 247 slight shortness breath cleared 2 months gotten infection testcle\n",
            "82969 0.8770773275714229 im confused heart felt twice heart atack smoke\n",
            "82970 0.8679456988362548 best equipment range 5000 inr losing body weight\n",
            "82971 0.8560774889721262 cause shortness breath 2 months started sore throat chest xray clear prednisone inhaler didnt help\n",
            "82972 0.8283965672895367 causes cracks heels prevent l heel cracked r heel smooth dvt thigh right legwhy\n",
            "82973 0.8061516239943198 suggest doctor prescribe talwin pentazocine nx\n",
            "82974 0.8214217325713834 type hypotension arteries vasodilated type medication effective bringing bp normal\n",
            "82975 0.6483453266528181 type medication effective treating hypotension arterial venous vasodilation cause hypotension\n",
            "82976 0.862243312048428 woke 3 inch circle blood pillow 3 sheets 2 nd time heart paitent 2011 reconstructive valve surgery ottawa heart inst\n",
            "82977 0.83842506664035 woke blood pillow 3 inch round heart surgery twice valve reconstruction scratches nose bleed im little worried\n",
            "82978 0.823598012531619 bulleyes mark body lyme disease experiencing chest painsleep disturbances heart tests norm lyme carditis\n",
            "82979 0.8572234580615596 heart older documented age\n",
            "82980 0.829302231120115 whats causes breathlessness eating deep breaths air feels like lungs air chest xray clear\n",
            "82981 0.7570639804668015 causes higher 30mmgh difference arm ankle blood pressure approx 1 333 ratio ankle higher\n",
            "82982 0.7782389758750677 took blood pressure arms legs ankle flashing heart flash leg readings arm 1s\n",
            "82983 0.9240953710197856 normal hypertention reading suposed 16793 week healthy\n",
            "82984 0.9077998342629381 kind heart issues happen high calcium levels\n",
            "82985 0.905437869866613 determines stroke volume heartbeat stressed volume rise thats u high blood pressure right\n",
            "82986 0.8516274302389685 difference acitrom warfarin taking 2 5mg acitrom planning shift towa rfarin 2 5mg effect\n",
            "82987 0.8665836981541714 happens mother ischemic stroke immediately hurry aspenter\n",
            "82988 0.8328794425128528 cause high blood levels myoglobin damage skeletal muscle heart muscle\n",
            "82989 0.9038405282262993 advise heart felt like quivered twice beat fast minute\n",
            "82990 0.6989635746533235 daughter strokes\n",
            "82991 0.8846794810804193 ck level 2700 mean\n",
            "82992 0.8921301190083228 suggest heart keeps feeling weird like dropping sensation slow\n",
            "82993 0.6182909159698958 cardiac mris sensitive diagnosing showing\n",
            "82994 0.8511348379664084 actually sinking heart feeling\n",
            "82995 0.8909196296428752 cause falsepositive ecgs durin nuclear stress test possible inferior infarct age unknown echo b4 fine ecgs b4after fine worried\n",
            "82996 0.852820067718912 deep breath tight feeling right chest concerned\n",
            "82997 0.89512097719148 face gets puffy forget blood pressure meds\n",
            "82998 0.8261405997578088 cause excessive swelling feet heart disease diabetes triple bypass 10 yrs ago stints\n",
            "82999 0.611297594756234 meds cyproheptadine isradipine structurally related\n",
            "83000 0.9079381699727724 heart burn 4 days middle night thought asit tried\n",
            "83001 0.904582000847876 kind diet recommended low iron high blood pressure taking 4mg perindopril high\n",
            "83002 0.854880118389155 causes feeling heaviness weakness arms sensation bicep area pcp said heart ok pressure jaws\n",
            "83003 0.8927149526096408 normal blood pressure range 26 yr old female\n",
            "83004 0.9056349258171841 talking feel short breath exercise plenty oxygen\n",
            "83005 0.915094360825734 suggest feel heart beats intense happens\n",
            "83006 0.8538035822325729 past 3yrs having right chest pain cardiac ruled radiates neck ends bad headache fatigue\n",
            "83007 0.8673169580417049 causes second feeling pain numbness outside left arm bicep pcp says heart ok nerve anxiety\n",
            "83008 0.8926322745629376 suggest dad got stroke 8 months ago immune weak easily got fever barely\n",
            "83009 0.9076709948084966 work minor intermittent chest pain right right nipple pain comes goes 2030 seconds going hour\n",
            "83010 0.8883397437367032 went dr extreme fatigue chest pains dr sent panels bloodwork guess dr wasnt concerned chest pains\n",
            "83011 0.9038199918767104 cause dizziness head lowers bend pick usual low bp sit stand\n",
            "83012 0.5702381620125179 affect taking celebrex celecoxib 200 cipto 500 warfarin 10\n",
            "83013 0.8924542108815006 advise heart beats fast pain pain neck\n",
            "83014 0.6297133984263407 omega 3s beneficial combatting cellular inflammation ala dha epa\n",
            "83015 0.6200331279125024 names cardiac implant devices pfo asd\n",
            "83016 0.7437088366804825 happens lasix furosemide work severe edema legs\n",
            "83017 0.9004453562475114 smoking bad heart\n",
            "83018 0.8591658645323774 trying balance omega 3 omega 6 ala count epa dha\n",
            "83019 0.9278078442873582 trying balance omega 3 6 consuming ala count little gets converted\n",
            "83020 0.7435677664903942 disorders cause postprandial hypotension cardiac type pain cardiologist believes disorder autonomic nervous\n",
            "83021 0.8755765928184268 ways lower high blood pressure\n",
            "83022 0.7552801068646434 classed structurally normal heart\n",
            "83023 0.6126018475177445 nausea chest tightnesspain shortness breath pain\n",
            "83024 0.9296712912702185 went doctors treatment high blood pressure going 24 hour monitor treatment want controlled job\n",
            "83025 0.8125873364222523 causes puffy face suffering hypertension try sodium level moderate face increasingly puffy\n",
            "83026 0.6445012038168513 neck artery 8590 block surgery angioplasty procure artery 8590 blocked\n",
            "83027 0.7735380468602184 cause droopy facial features teenage girl half lip brow nostril cheek stroke\n",
            "83028 0.8882026784788573 cause occasi pressure feeling like knot ball food sternum area blood pressure fluctuate 9224 12084\n",
            "83029 0.9143180590356449 mean heartbeat normal rest starts beating stress exercise beats hard fast anxiety\n",
            "83030 0.8513278802876861 endocrine causes extremely hard kind fast heartbeat normal relaxed information greatly appreciated\n",
            "83031 0.8347622036222816 causes feel short breath leaning seat airways clear\n",
            "83032 0.8866422855767653 high blood pressure ruin kidneys\n",
            "83033 0.8046283511241498 missed miscarriage 6 weeks scan showed heartbeat\n",
            "83034 0.9536502015819812 taking clonazepam twice week months running cardiologist wont renew stopping ok given 2 help sleep cuz heart\n",
            "83035 0.8354774602348737 clots difficult body break blood thinners blood aids natural anticoagulation correct\n",
            "83036 0.8198065298791417 bad posture causing breathing problems\n",
            "83037 0.9105520507304806 lying hear heartbeat faster 6 weks 2 days normal\n",
            "83038 0.8049262634088827 cause atelectasis effusions 24 hours percutaneous liver biopsy lungs chest pain\n",
            "83039 0.5746634004363831 success rates ross procedures aortic valve suitable mitral valve\n",
            "83040 0.9010480183670556 1 bad night spike cholesterol levels\n",
            "83041 0.8412595268927295 primary hypoaldosteronism lead increased renin angiotensin ii secondary hypoaldosteroninim\n",
            "83042 0.8718233158674876 ideal blood pressure 0 risk strokes heart attacks 59 5 year old man weighs 189 pounds 5 11 5 inches tall\n",
            "83043 0.846010576661753 suggest total cholestrol 200 hdl 40 ldl good a1c 6 2\n",
            "83044 0.9268701981259407 best way snd time check blood pressure laying minutes\n",
            "83045 0.908799846960315 heart pump faster taking hr rest 2 hours exercise hr 70\n",
            "83046 0.8135676670385853 know carotid artery dissection couple days facial tension pain headache numb tingly lips today age 28\n",
            "83047 0.9236596270398549 lie feel strong pulse toe big toe believe benign way stop\n",
            "83048 0.7941916612662788 suggest total cholesterol is112 hdl 58 ldl 42 8 trygly 56 vldl 11 2 need concerned cholesterol low\n",
            "83049 0.8028461139322209 beans heart burns\n",
            "83050 0.9464025041364007 want baby induced 36 weeks hospital 3 week hypertension hbp doctor gone ask 35w today\n",
            "83051 0.6181081947219643 vitamin hypothyroid cholesterol depression anxiety\n",
            "83052 0.8476260850658096 cuff tightens blood pressure reading chest felt little tight normal\n",
            "83053 0.882787469194536 worded wrong facial tensionpressure 1side face chinear n somexs felt pain numb bp norm stress tia\n",
            "83054 0.8418873756326577 wife having blood pressure 85 56 rheumatoid arthritis patient low fatigued\n",
            "83055 0.8035420128048176 chest pain mitral valve prolapse feel like life threatening\n",
            "83056 0.886270022034627 4 years old underwent open heart surgery close opening heart surgery successful months ago\n",
            "83057 0.45013141278280133 maythurner syndrome\n",
            "83058 0.8217791576645275 kind imaging look portal hypertension\n",
            "83059 0.4388398049637485 differences atherosclerosis thrombosis atheroma arteriosclerosis thrombosis embolism thank\n",
            "83060 0.8771425800562854 causes 5 second stabbing pain left chestbreast happened stood pcp says heart ok left shoulder blade pain\n",
            "83061 0.930189823721152 wen dental work heart palpation lay anxiety\n",
            "83062 0.8811042250853489 went er dr xray said lungs clear kidneyliver fine short breath hgb 8 6 im short breath\n",
            "83063 0.8441228520026158 whats use bumex\n",
            "83064 0.6844750158559546 intercranial hypertension improve 3 months returned drastically worsening symptoms vertigo\n",
            "83065 0.8964630790964027 best dosage fish oil omega 3 supplement started taking wondering best dosage\n",
            "83066 0.8843158211992346 safe dose propranolol doesnt produce effects treat anxietymigrainenerve twitching\n",
            "83067 0.8838212478940877 10mg dose aventyl nortriptyline cardiac effects come warning reduced dose help\n",
            "83068 0.8547611841382046 shouldnt eat dairy food cholesterol\n",
            "83069 0.8906688501382951 causing sharp pain sternum feels like lots pressure hard breathe walking ton week got depoprovera shot\n",
            "83070 0.6413608084544993 abdominal chest pain\n",
            "83071 0.6967101876179469 kind imaging studies diagnose portal hypertension\n",
            "83072 0.887318088482857 whats diff hemiplegic migraine tia docs suspected agree im confused\n",
            "83073 0.9188603684543167 r symptoms cad mom chest pain fatigue problem makes electrical shock rehion heart looks like knife goes onit\n",
            "83074 0.7613064899226573 cause low serum creatine kinase level 26 iul\n",
            "83075 0.0 metoclopramide contraindicated pheochromocytoma\n",
            "83076 0.8999708480966774 sleeping heart races 120 normally 57 67 waking staying goes bit\n",
            "83077 0.6670108971812632 normal bmi index\n",
            "83078 0.8846869226872006 drs office bp spike 200shortness breath dizzy cause\n",
            "83079 0.9425091779553232 reason babys growth heartbeat want know miscarriages\n",
            "83080 0.8314239893283035 week old son hole heart\n",
            "83081 0.9224538890755882 contradictory studies nearly health topic study says omega 3 good says offers benefits whats\n",
            "83082 0.8313319842316175 chest hurt drinking alochol hard breath\n",
            "83083 0.79208134903813 cum 30 seconds control 500 strokes\n",
            "83084 0.8776266942397938 causes sharp second stabbing pain center chest directly breasts pcp says heart fine shortly eating\n",
            "83085 0.7540006096914553 eat im anemic cholesterol hypothyroidism infection ear anxiety depression\n",
            "83086 0.7739995726918126 headaches stop drinking caffeine\n",
            "83087 0.5663210200925972 fetal heartbeat signs miscarriage\n",
            "83088 0.8855233230491169 sleep 1 pillow night wake dizzy vertigo entire head stings normal weight breathing problems\n",
            "83089 0.9301428267796585 healthy blood pressure 21 year old female 53 103lbs\n",
            "83090 0.8594602468492292 difficult vascular conditions brain somewhat controlled med eventually need surgery\n",
            "83091 0.938003296024849 experiencing bad heart burn week following bad hangover\n",
            "83092 0.919966719609502 suggest rythmol propafenone convert nsr echo showed problems idea long fib\n",
            "83093 0.8652374702030289 cause chest cavity burn intense pain dont radiate areas difficulty breathing blood pressure normal idea\n",
            "83094 0.8871494935965076 causes feeling pressure sternum meets collarbone right center base neck pcp says heart ok\n",
            "83095 0.6756499653764456 chest pain unbearable\n",
            "83096 0.8852711703852494 stand feel pulse head kinda like wob wob wob sound hypertension medication dangerous sign\n",
            "83097 0.8908445674922689 whats difference primary endolymphatic hydrops secondary endolymphatic hydrops\n",
            "83098 0.8856060218980266 small ring fingers numb dose mean heart problem\n",
            "83099 0.7159171835249488 moderate hypertension suffer postural hypotension leading near near faints treatment suggest\n",
            "83100 0.834051286194398 causes 30 second pinching pains lower left breast nipple close armpit fear cardiac pcp swears heart ok\n",
            "83101 0.8200622051754924 causes burning sensations xyphoid area chest bra underwire bra pcp says heart cardiac anxiety\n",
            "83102 0.6392283606245658 feeling nausea dizziness days symptoms hist pcos htn lisinopril10mg zoloft sertraline 50mg\n",
            "83103 0.7994119784661698 taking ibuprofen caffeinecoffee tea cola medication caffeine consumption beforeafter taking med\n",
            "83104 0.8435768316631675 onset chest pain dyspnea try rapid deap breaths things worse hyperventilation cause result\n",
            "83105 0.09968675777266037 mild physiological mitral tricuspid regurgitation\n",
            "83106 0.8134320733042456 right atrial enlargement help\n",
            "83107 0.6712222766750927 unstable angina contraindication stress test\n",
            "83108 0.971467081746313 exercise help change pectus excavatum yes know exercises sir\n",
            "83109 0.8680453117790842 pulsatile tinnitus intercranial hypertension change volume pitch daily weekly makes sound\n",
            "83110 0.17156712042451275 atheromatous aortic knob\n",
            "83111 0.8786651142515227 normal healthy standing blood pressure sitting laying 12080\n",
            "83112 0.8472752247321039 major heart bypass operation heart valve replacement plz\n",
            "83113 0.8208487507800224 drug resistant hypertension doctor said drug resort works\n",
            "83114 0.8390946545389476 went doctor fever ear ache prescribed amoxicillin 1 pill left stop coughing hard breathe\n",
            "83115 0.8117624943870072 swallow liquids feel chestbreasts ache 1 breasts shoulderblades esophagus gas pcp says heart\n",
            "83116 0.9354398655908801 absolute best blood pressure hear 12080 115 75 110 60\n",
            "83117 0.6348423784493774 unstable angina contra indicator stress test\n",
            "83118 0.9109461837429343 suitable diet person high blood pressure\n",
            "83119 0.8320771827598736 panic attack syndrome heart popping feeling\n",
            "83120 0.6813720205220538 emphysema progressing stop exposing lungs irritants tobacco smoke\n",
            "83121 0.7758713668937812 kind conditions cause constant fatigue muscle cramps excessive sweating body pain exertion chest pain shoulder pain\n",
            "83122 0.7540371917864911 percent dvt travel related surgery related genetic defect related spontanious\n",
            "83123 0.9002581826358911 causes high blood triglyseride blood triglyserride 555mgdm ln53 yr old man\n",
            "83124 0.9100681117533692 causes swollen feet 73 good health generally high blood pressure daily walks morning\n",
            "83125 0.9223965700357059 sex sleep feel day cheast pain calms drink water sleep ive gerd heart related gerd\n",
            "83126 0.9103974642754341 try fall asleep heart starts beat faster cause\n",
            "83127 0.8541119522067718 happened drinked 45 bottles beer meds high blood pressure\n",
            "83128 0.9091142114093964 causes dull burning pain xyphoid area right rib cage area pcp says heart ok\n",
            "83129 0.6918174870905164 pathogenesis ischaemic stroke affecting left cerebral hemisphere\n",
            "83130 0.9258160574680161 eat caloried food heart starts beating fast feel kinda tired means rare eating caloried foods\n",
            "83131 0.9154059553681657 causes 5 second pain chestbreasts lying felt like ache moving pcp says heart ok\n",
            "83132 0.7834845763284234 feel heartbeat stomach\n",
            "83133 0.6147265476069784 diagnosed mthfr mitochondrial disorder mean chf kidney disease copd\n",
            "83134 0.6147265476069784 diagnosed mthfr mitochondrial disorder mean chf kidney disease copd\n",
            "83135 0.8992246813611582 swallow feel coldgot liquids chestbreasts causes ache area trapped gas pcp says heart ok worried\n",
            "83136 0.8636856040426963 s ideal blood pressure 60years man\n",
            "83137 0.8889412998112934 cause chest pain sinusitis 2 mths took augmentin amoxicillin clavulanate 6days otrivin 5days taking veramyst 2sprays day 1mth thks\n",
            "83138 0.7897452453299135 causes severe hypertension episode 12 hours 200 person hypertension\n",
            "83139 0.8368901205075004 normal blood pressure\n",
            "83140 0.8738569315788115 woke middle night feeling like underwater skin felt cold smooth sweating heart problem immune problem\n",
            "83141 0.8577235492026785 upper body stomach upwards feelhear like air coming throatif like 30sec chest hurts\n",
            "83142 0.8837013695688077 difference preexercise resting heart rates\n",
            "83143 0.6158285217559438 causes heart structurally damaged\n",
            "83144 0.9087380810411997 went er 2 days ago chest lungs hurting like xray shows heart ok blood work ok hurts\n",
            "83145 0.8100473244184184 eating gram potassium chloride lower blood pressure eating gram salt raise certain ratio\n",
            "83146 0.4493918304191228 relation hypertension splenomegaly\n",
            "83147 0.9107124351999655 diagnose person strange sleep lunch 20 min sleep difficulty breathing\n",
            "83148 0.7663420380350257 effect double water loading diuretics\n",
            "83149 0.8950153175336565 causes 5 sec shooting pain chest center chest btw breasts left right chestbreast similar pains pcp says heart\n",
            "83150 0.8474761594368035 chest hurt breathe deeply cold im pregnant dangerous baby\n",
            "83151 0.8561381920435494 usually feel gerd symptoms acid reflux breathless week days period hormones\n",
            "83152 0.9211477125399785 normal blood pressure 32 year old female exercise\n",
            "83153 0.8877206173625606 causes sharp 5 second pain center chest breasts straight right chestbreast feels electric pcp says heart\n",
            "83154 0.8042588714014274 effect olive leaf thyroid uisng candida feeling blood pressure lowered low\n",
            "83155 0.8225878528717974 autoimmune diseases cause raised alt ankle pain chest pain spine shoulder pain ana hla b27 positive\n",
            "83156 0.4816470657943469 prednisone alternative erythema induratum nodular vasculitis\n",
            "83157 0.8882460864327684 heart randomly start racing reason\n",
            "83158 0.8467004880945861 went docs bad pain diagnosed having sprained trapezius muscle chest pain 8 hours feeling drowsy light heade\n",
            "83159 0.7581289825818069 pain chest smoking shisha\n",
            "83160 0.8077620359765139 causes short pinching pains chest left breast collarbone pcp says heart ok cardiac anxiety shoulder neck tension\n",
            "83161 0.8745404987138945 blue veins armshandschest suddenly visible heart checked year blood test weeks ago clear\n",
            "83162 0.9136505629327965 cause husband triglyceride level 370 age 31 control hes vegetarian\n",
            "83163 0.5470918083905352 effect coconut oil serum triglycerides\n",
            "83164 0.6841633775725944 problem beating abdominal aorta\n",
            "83165 0.5486014503948267 survival rate pulmonary embolism surgery\n",
            "83166 0.08164726163609486 pulmonary embolism hypocapnia hypoxia\n",
            "83167 0.314236747231019 lipitor atorvastatin reduce libido\n",
            "83168 0.8966592328626383 doc cirlation bad\n",
            "83169 0.8641289159866404 causes short stabbing pain left breast near armpit dull pain ribs armpit bra line pcp says heart ok\n",
            "83170 0.8268834287246839 symptoms heart related diseaseangina\n",
            "83171 0.8369451178196978 causes stabbing pain right shoulder blade shoulder blades walking brisk pace pcp says heart ok\n",
            "83172 0.7717516222647389 heartchest hurt breathe\n",
            "83173 0.4388615990550841 arch aorta curved explanations\n",
            "83174 0.7882129039832314 disease hole heart\n",
            "83175 0.9347538033661337 somethings reverse hypertension im worried mother help\n",
            "83176 0.856000502531699 happen pulse pressure reduced 20\n",
            "83177 0.879355461366325 causes 10 second ache chest lying pain went directly breasts felt like muscle tear pcp says heart ok\n",
            "83178 0.8874549862360354 head going numb neck problems happening birth 1yr dizzy spells\n",
            "83179 0.8649901277833479 sleep heart anxiety\n",
            "83180 0.8266559660735512 problems water retention\n",
            "83181 0.9286440246402458 normal blood pressure 41 year old woman taking blood pressure medicine elevated safe\n",
            "83182 0.8854142752811761 mean heart functioning 44\n",
            "83183 0.8948372510239697 fail sleep normal time fall asleep rest night start feeling heartbeats pounding laying\n",
            "83184 0.4636603502724376 patient aortic aneurysm htn 2 drugs\n",
            "83185 0.9318672157330475 blood pressure iss high like months coming reduce\n",
            "83186 0.7683191756826528 aorta rupture high bp damaged weekend\n",
            "83187 0.7754267781239431 1000mg nicotinic acid sufficient help manage triglycerides 218 hdl 19 diabetic male\n",
            "83188 0.49951265886863994 emphysema large bullae\n",
            "83189 0.8486729441079338 pressure pipe blood pressure relationship\n",
            "83190 0.861555340022842 causes 5 second pain center chest breasts collarbone felt punched pcp says heart ok freaking\n",
            "83191 0.8273943507252155 causes 5 second pain center chest breastline collarbone felt punched pcp says heart cardiac\n",
            "83192 0.49782914811017454 transesophageal echocardiogram tee\n",
            "83193 0.8804379756685506 chances cardiac problems resulting ibuprofen use stroke runs family\n",
            "83194 0.4320991721051568 mean normal vascular flow voids present distal carotid vertebral arteries basilar artery proximal anterior\n",
            "83195 0.9420604223388291 movement increases blood circulation help medication effective days dont feel working days\n",
            "83196 0.8820179775084535 someones cholesterol level mean\n",
            "83197 0.8771773868025972 worrying angina day\n",
            "83198 0.8774765495062343 think lisinopril treatment high blood pressure\n",
            "83199 0.8001133957902868 chest pains period reduced middle time menstrual cycle hormone related\n",
            "83200 0.571779637702975 cpk levels abnormal\n",
            "83201 0.8774683218716671 pectus excavatum mean mention doctor\n",
            "83202 0.8915846805190581 inderal propranolol 40mg twice day aniexty hypertension cause erection taking 2 years\n",
            "83203 0.9041831579959321 heart failure future\n",
            "83204 0.807781512453726 best bypass surgery angioplasty person 75 years78 blocks rca diag diabetic stroke 2 yr backnot fully recovered\n",
            "83205 0.9417192739656888 pressure high low sure unfortunately mother blood pressure dad sadly diabetes think type\n",
            "83206 0.9226066118539766 recommend burning heart time\n",
            "83207 0.7883221397424874 esophagus comparison heart aorta heart closest beast bone\n",
            "83208 0.8126719027515689 weeks ago told asthmatic bronchitis took medrol methylprednisolone chest xrays normal im chest tightness inflammation\n",
            "83209 0.9417137606821385 advise heart strong slow beat startled whats deal\n",
            "83210 0.6156641662043075 whats cure hypokalemic periodic paralysis hypocalcemia hypertension panic disorder renal parenchymal disease\n",
            "83211 0.7062674928403437 macrobiotics exercises help lung sarcoidosis\n",
            "83212 0.8058511405915897 average life expectancy amyloid angiopathy\n",
            "83213 0.9149620576048616 automatic blood pressure machine need 200 come accurate\n",
            "83214 0.9323400109633077 healthy 43 year old woman retain water\n",
            "83215 0.8729248660094963 causes pain chest center breast line worse press intermittent 3 hours\n",
            "83216 0.5461922628306628 potential marfan syndrome cardiologist detect\n",
            "83217 0.8725073418940631 cause sev chest pain difficulty breathing lie right chest pain continues breathe easier\n",
            "83218 0.7615259932434946 difference acetyl lcarnitine vs lcarnitine l tartrate preferable chf\n",
            "83219 0.875203777413157 bp levels dangerous dissection aorta short term got 190 stress test max hr 196\n",
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            "84108 0.9062828253780655 caffeine sleep alcohol makes heart race resting rate 135150 bpm dehydration\n",
            "84109 0.8579315365468931 slightly dizzy treadmill happens walking slow pace pcp says cardiac bp normal\n",
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            "84116 0.8073085220413915 whats anti inflammatory doesnt tend cause swelling fluid retention\n",
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            "84118 0.9315365728927618 sure ive heard pulmonary fibrosis child want know body\n",
            "84119 0.8075423879052813 saw tv mentioned called pericarditis\n",
            "84120 0.8339992845328644 bad sweats weeks months snyope episodes injury\n",
            "84121 0.8974500312136081 ask doctor antianxiety meds flying induced panic attacks flown country self panic breathe started shaking felt like losing control heart fly\n",
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            "84144 0.8901810750542161 exercise doctor strange heart flutter yesterday heart fluttered second got slow weak remained slow weak hours rest night occasional chest pain\n",
            "84145 0.8636015741315637 concerned heart pounding heavy drinking\n",
            "84146 0.9157185374021588 tell doctor passing yesterday im fine\n",
            "84147 0.8092901013860184 shortness breath weakness 2 wk cough problem\n",
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            "84150 0.9136756523228357 endocrinologist ive diagnosed having active thyroid ive 50 000 vitamin d taken twice week calcium supplements told crestor zyrtec prevacid understand t\n",
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            "84152 0.8202303007671459 spreading pain leg thoracic outlet syndrome symptoms far away\n",
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            "84154 0.8583571783032921 concerned yesterday got shocked wire connected wall keys hand shock painful threw keys room hair wet feeling chest pains breath w\n",
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            "84157 0.8607905438973654 er 56 yr old female bp left arm 13090 74 pulse bp right arm 15993 achy non sharp pain center chest left shoulder pain radiating neck area weakness left arm\n",
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            "84159 0.9112608386370846 concerned low blood pressure dont faint\n",
            "84160 0.9084199279927814 worried playing soccer started feeling dizzy thirty minutes later started feeling rapid beating chest heart got chills gone e r times heart specialist\n",
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            "84164 0.8463886801775334 er pain chest pain slight shortness breath week past couple days upper left abdomen swollen extremely painful tender touch left\n",
            "84165 0.903463255145269 concerned neck pain ive feeling feverish difficulty breathing im 16 year old female having pretty severe neck pain past week occasionally scapula n\n",
            "84166 0.8892576629925996 emergency room chest pains went away happened twice pain pressure upper slightly left center chest lasts couple minutes goes away little hard breathe fe\n",
            "84167 0.8171932883316985 believe barker hypothesis\n",
            "84168 0.8924004477091441 feel labored normal things went downstairs load laundry hearts started beating faster felt extremely weak got sweaty shakeing currently bactrin staff infection 4 days\n",
            "84169 0.5895080922963094 stomach pulse fluttering worried abdominal aneurysm\n",
            "84170 0.908742126868745 childhood occasionally regularly struggled getting fulldeep breaths restingsitting advice 42 yo nulligravida good health medications cholesterolbp problems modestly exercise regularly bike ridingwalking\n",
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            "84227 0.8951817485569923 went doc abdominal pain got scheduled ct scan wks dr thinks aortic aneurism wait 2 wks im young\n",
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            "84245 0.9318257243059135 concerned black lines growing fingernails im 51 year old black female father heart disease information mother im approximately 170 lbs 53 medium build work shift dont exercise regularly\n",
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            "84258 0.8909513967363446 75 year old woman high blood pressure brain surgery mri shows 13 mm aneurism 75 year old woman blood pressure cholesterol levels high stroke 40s recovered fully mri shows 13 mm aneurism doctor sa\n",
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            "84689 0.4769959339845979 ibs cause atrial fibrillation\n",
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            "84691 0.583269672407542 atrial fibrillation life threatening\n",
            "84692 0.031277177814397324 atrial fibrillation psychosomatic\n",
            "84693 0.6711901491421458 cardiac ablation cause strokes patients\n",
            "84694 0.9350474155988113 treat right bundle branch block\n",
            "84695 0.9288390952174624 pacemaker individuals heart beating cardiac arrest answer question yes long continue assist heart beating help prevent brain damage medical help arrives\n",
            "84696 0.9192265492945408 having congestive heart failure pacemaker year atrial fib diltiazem increased 360 mg 240 mg days nights short breath wake short breath t\n",
            "84697 0.4468506633411083 folliculitis bring myocardial infarction\n",
            "84698 0.8006225692114455 hydroxyurea raise pulse rate\n",
            "84699 0.8164504511096381 tilt training help prevent vasovagal syncope\n",
            "84700 0.900614464099154 people pacemakers shocked life aed\n",
            "84701 0.5117407335256614 pinched vagus nerve cause vasovagal syncope\n",
            "84702 0.6420428788472334 beta blockers chf patient\n",
            "84703 0.5694857510663559 bluetooth affect cardiac pacemaker\n",
            "84704 0.5703770296232485 beta blockers help pulmonary edema\n",
            "84705 0.853095976351811 heart attack exercise\n",
            "84706 0.8313733779530104 aspirin cause bradycardia\n",
            "84707 0.7736703731803682 angiogram trigger heart attack\n",
            "84708 0.5774891749203638 svt ride roller coasters\n",
            "84709 0.8540834196430412 heart arrhythmia cause tia\n",
            "84710 0.856281031400261 taking viagra sildenafil cause heart attack\n",
            "84711 0.8456757505221458 cpr restart stopped heart\n",
            "84712 0.882204244600177 catch hivaids giving mouth mouth stranger heart attack\n",
            "84713 0.8206686646152999 alcohol bring episode svt\n",
            "84714 0.4160199104942652 mitral valve prolapse cause svt\n",
            "84715 0.8607891605110239 effect cardiac arrest affect thinking power\n",
            "84716 0.5476291381656094 shocked touching implanted internal defibrillator\n",
            "84717 0.8399292890618745 terrible pain pulled muscle chest lead heart attack\n",
            "84718 0.8262935291484763 internal bleeding lead heart attack\n",
            "84719 0.606444658246107 lopressor metoprolol tartrate pregnancy control svt\n",
            "84720 0.3787045728453829 die svt\n",
            "84721 0.692876712304504 leukemia cause cardiac arrest\n",
            "84722 0.6321068425891834 cayenne pepper trigger episode svt\n",
            "84723 0.8385580308842471 50 baby aspirin\n",
            "84724 0.7873387283988822 sharp pain left shoulder blade movementno pain breathingpain prev blood thinner 4 clot 1 month gall bladder 1 wk clot\n",
            "84725 0.4544277606367343 symptoms plurasy\n",
            "84726 0.8819342754932981 diagnosed mom pulmanru hypertension treating aggressively shes 67 lbs 3 week shouldnt concerning\n",
            "84727 0.5619656207527567 effects stern implanted descending artery heart\n",
            "84728 0.8196512279407556 right sided chest pain traveled left rib cage steady pain\n",
            "84729 0.501322662299724 effects stent implanted heart artery\n",
            "84730 0.6886373678082398 swollen feet fluid cause\n",
            "84731 0.9037270163369491 911 feel like wrong heart\n",
            "84732 0.6221677647250752 swollen lymph node neck year\n",
            "84733 0.7924740367323326 sice yesterday feeling giddy\n",
            "84734 0.7592773765173978 symptoms diarhhea black stools fainting spells reason\n",
            "84735 0.5252456119631235 swollen lymph node armpit cause\n",
            "84736 0.5550848594970523 shortness breath dizzy\n",
            "84737 0.902940674281878 sir having problem sugar feeling feel like fainting body feel like vomiting sweat comes\n",
            "84738 0.8093647164775996 severe diarrhea 10 days shaky n weak feeling dizzy\n",
            "84739 0.7687380980637897 sideeffects 6 yrs use plendil felodipine hypertension\n",
            "84740 0.7087331517813649 concerned chest xray said calcification lymph node\n",
            "84741 0.7482750078286073 reduce risk heart disease\n",
            "84742 0.8902418579842725 worried lymph node cum groin months ago doc said fine pop collar bone mean cancer infection\n",
            "84743 0.6731042731021789 swollen feet ankles carbohydrates retain body fluids\n",
            "84744 0.6687340256316426 swollen retro auricular lymph nodes noted 1st month baby 10th monthtwo\n",
            "84745 0.8823626672126044 swelling feet hands mean heart failure right\n",
            "84746 0.8855723129686137 scan tuesday showed 7w pregnant n showed heartbeat heavy bleeding clotting mc mc month ago got preg\n",
            "84747 0.685034787456528 swelling lymph node right arm pit\n",
            "84748 0.9006758513488372 taking felodipine blood sugars control recent 17 5 iwas single figures connection opinion\n",
            "84749 0.891946932563768 sudden numbness come weeks ii face neck arm moves 1 hardly use arm happens sick stomach 2 days stopped thought gone\n",
            "84750 0.901290604635158 second line faint b seen symptoms pregnancy like nausea fatigue increase appetite pregnant\n",
            "84751 0.8156477160814233 slight headache 2 days today sudden chest congestion needing blow nose throat feels swallow cough tight chest hurts cough\n",
            "84752 0.6585861729688743 shortness breathe laughing\n",
            "84753 0.746268540204777 daily aspirin\n",
            "84754 0.8397163686464884 mvp patient antibiotics prophylaxis lifetime\n",
            "84755 0.809664390906085 mother blood thinner phlebitis\n",
            "84756 0.765629387969055 stomach swelling pain fatigue upset stomach short breath utis frequently\n",
            "84757 0.7546666189169606 semi solid stools d mornings\n",
            "84758 0.9177968009351364 paramedics ask family dnr status treating called home unconscious 92 yo person\n",
            "84759 0.8399145670957174 childhood lipid profile bad tg 400 hdl 33 ldl 120 10mg zocor simvastatin need medicine 55 yr old\n",
            "84760 0.2173586603274457 scarring mitral valve endocarditis 2 strokes cjances 3rd\n",
            "84761 0.7368419415953854 sharp pains spine extream pain chest pulsating pain arm migraines 2 weeks leg gets pulsating pain\n",
            "84762 0.8542244317231709 left chest ache badly course\n",
            "84763 0.8944450458476454 felt pain right chest left sides normally happens\n",
            "84764 0.7801885857475197 sir father suffering brain tumour 4 months undergone bypass surgery advisable surgery age 70\n",
            "84765 0.6878604343853943 successfully ruled dvt painful lump calf knee\n",
            "84766 0.8835737809567291 turn heart transplant younger person\n",
            "84767 0.6624335052866687 splenic artery aneurysm excruciating pain left abdomen generating kidney area\n",
            "84768 0.9034056085636429 wake morning feel like im going faint hot shake headache whats wrong\n",
            "84769 0.8955001139116675 short breath 247 hv anxity tht b cause lot test like spromiter xrays echo takn xanx n propranolol stil brethless plz hlp\n",
            "84770 0.8432016624343449 person sarcadodis drink alcohol\n",
            "84771 0.7497759650285359 stomach distend 4 months causing shortness breathe\n",
            "84772 0.7145504430581057 tooth extracted taking aggrenox\n",
            "84773 0.916798886474988 started taking 50 mg atenolol jan 2012 added 360 mg verapamil july gradually started losing hair medicine causing\n",
            "84774 0.8742270678272374 strange clicking popping feeling heartbeat post exercise shortness breath like pressure preventing getting breath im 19 weigh approximately 180lbs\n",
            "84775 0.8922760095698404 worried got olive oil eye\n",
            "84776 0.8528557971189834 sudden severe pain left arm shoulder dont remember injured\n",
            "84777 0.7541237487972589 doctor raynauds vasospastic attack\n",
            "84778 0.9272050670727873 triple bypass patient pushups years long attempting dont want compromise wires inside wt 240\n",
            "84779 0.917306055319415 started nizoral ketoconazole 2 week dr s orders twice week use good ive noticed change seborrheic dermatitis flakes\n",
            "84780 0.8193969120588462 feel like needles poking heart chest occur breath deeply worried\n",
            "84781 0.8692234609745019 questions heart vascular systemdo tissues things damage\n",
            "84782 0.8502152065158349 strange tingling sensation head feels kinda fuzzy like pass lingers day arms legs ideas\n",
            "84783 0.8727694330328588 shortness breath simple tasks like brushing teeth easily irritated lack patience 29 yrs 6 178 lbs male blood pressure 13negativesmiley82\n",
            "84784 0.7020694231852942 sharp chest pains blurred vision numb arms indicate\n",
            "84785 0.8511477491355804 physical contact husband having deep vein thrombosis\n",
            "84786 0.8443974924538951 restaurants serving sweet potato fries instead regular french fries nutritional values compare\n",
            "84787 0.7592556121564396 knee joint pain rest knee restless leg syndrome plmd alleviate symptoms\n",
            "84788 0.80768609058552 short breath frequently\n",
            "84789 0.8400531023376732 oxygen level 98 short breath chf related\n",
            "84790 0.8955305504456396 heart surgery heroin addicts usually end needing\n",
            "84791 0.8793978895722928 difference anticoagulants antithrombotics antiplatelets\n",
            "84792 0.8877433621835309 matter issues headaches arms numb im prompted angry upset clean house nerves blood pressure\n",
            "84793 0.8401213829426686 eat sushi turn freezing cold blue lips pale idea\n",
            "84794 0.8637141798701012 cause pain right chest\n",
            "84795 0.4105904157791168 carotid pulses 24 bilaterally mean bruit abdominal aorta prominent femoral pulse 24 bilaterally normal\n",
            "84796 0.8294046941824145 heart suddenly feel painful\n",
            "84797 0.9258722758402191 return work tia\n",
            "84798 0.9038248272681082 fathers blood pressure high\n",
            "84799 0.42546146399068313 possible noninvasive treatments mitral stenosis mitral valve area 0 85\n",
            "84800 0.8414167446375759 difference antiplatelet anticoagulant drugs stroke\n",
            "84801 0.8159306465187351 differences systolic diastolic blood pressure\n",
            "84802 0.42214918230732557 risk cancer unprovoked pulmonary embolism symptomatic discovery clot\n",
            "84803 0.7633423933925324 disorders cause fluid retention leads hyponatremia\n",
            "84804 0.9355266909488111 echocardiogram blockages heart im 6ft 150lbs athlete 39yo 5 years ago good\n",
            "84805 0.8110481445964481 myocarditis effect blood pressure\n",
            "84806 0.7642167541746393 cerebral angiography tell vasculature mrimramrv contrast tell stenosis stents\n",
            "84807 0.6443262281340706 difference prescription overthecounter niacin\n",
            "84808 0.6849998035049232 medications treat pansystolic murmur\n",
            "84809 0.8323064520169997 normal bp walking running\n",
            "84810 0.7268609498536133 included assessment geriatric patient possibly experienced acute ischemic stroke\n",
            "84811 0.7676518644859887 pheochromocytomas cause episodes attacks symptoms symptoms tach sob sweating elevated bp dizzy flushed constant\n",
            "84812 0.8896122978096513 white viginal dischrge leg pain chest pain stomach upst bcz birth control pills took 2 weeks befor having pains y guide\n",
            "84813 0.8234769312187364 normal abnormal blood pressure\n",
            "84814 0.572583761316049 medical definition emphysema copd\n",
            "84815 0.8736471882712213 mean heart feels like theres air bubbles fallowed fever\n",
            "84816 0.8760099742443258 causes finger clubbing young patient\n",
            "84817 0.87803323262119 heart burn im hungry\n",
            "84818 0.7784901078720005 normal ck level exercises intensely bodybuilder\n",
            "84819 0.9457675024925716 appraxia speech percentage kids able talk dose omega 3 6 9 2 years\n",
            "84820 0.8628268731074288 machine test someones blood pressure\n",
            "84821 0.542840837364725 difference adrenal fatigue cushing syndrome\n",
            "84822 0.5236196068763088 difference atherosclerosis peripheral vascular disease\n",
            "84823 0.6226266246972693 valve replacement encephalitis present\n",
            "84824 0.8183039257010184 lowers blood pressure taking medication\n",
            "84825 0.4860197650737024 amlodipine besylate tabs\n",
            "84826 0.8814461110318792 ways treat heart disease angina high blood pressure\n",
            "84827 0.47920250561036387 abi detect aneurysm\n",
            "84828 0.7611957579340682 causes bulging vein artery neck visible pulse sign im skinny different underlying condition\n",
            "84829 0.9060895823772478 type doctor post dvt leg symptoms pain pain getting worse age use compression sock feet work\n",
            "84830 0.8938969385753996 mean ankles swollen dont eat tons salt doubt kidneys high cholesterol issue\n",
            "84831 0.7518204749195938 neurologist cardiologist able diagnose autonomic dysfunction difficult task symptoms look\n",
            "84832 0.8795719467377385 pregnant uncomfortable lay feels hard breathe heart race pounds\n",
            "84833 0.9050785110160308 drs listen u breath tell copd emphysema\n",
            "84834 0.7469677181843626 aspirin prescribed patient slightly elevated blood pressure\n",
            "84835 0.9192315996157319 heart area feels uncomfortable help\n",
            "84836 0.44555590178839416 noncardiac pulmonary edema body\n",
            "84837 0.6731297315827992 recommended inr level diagnosed antiphospholipid syndrome\n",
            "84838 0.8274058701333771 different best concor 2 5 mg tenormin atenolol 25mg tell\n",
            "84839 0.5603041594711499 differences cardiac intervention cardiac diagnostic procedure\n",
            "84840 0.84709661457818 left leg feels like pulled muscle tight thigh foot injure known risk factors dvt\n",
            "84841 0.9064126267192976 things cause increase blood pressure\n",
            "84842 0.9265564436586201 proper way blood pressure\n",
            "84843 0.6941570067251758 pulmonic valve nl wphysiologic regurgitation mean\n",
            "84844 0.803348785006194 child congestive heart failure heart attack\n",
            "84845 0.584923144277126 hypertrophic cardiomyopathy reverse children\n",
            "84846 0.8911517469954758 collapsed lung lead heart attack family history heart problems\n",
            "84847 0.682627177581336 child dilated cardiomyopathy like adult\n",
            "84848 0.8634325773640952 wpw prevent kid active\n",
            "84849 0.6947046017879206 ibs cause atrial fibrillation person\n",
            "84850 0.582302950486805 order defibrillator\n",
            "84851 -0.0012466829911880351 pathophysiology dilated cardiomyopathy\n",
            "84852 0.723444944735347 metoprolol taking flecainide\n",
            "84853 0.5740092827325078 define sinus bradycardia\n",
            "84854 0.7591432911241016 explain heart valves openingclosing synchronized hearts pacemaker firing\n",
            "84855 0.6115215122034305 prescribe beta blockers postcoronary artery bypass surgery lbbb patient\n",
            "84856 0.831978872846238 increase blood level cause palpitation\n",
            "84857 0.7544600249131409 recommend best reference source learn ablation atrial fibrillation\n",
            "84858 0.7099969430452462 beta blocker given post operative coronary artery bypass surgery patient lbbb\n",
            "84859 0.7785608321289008 tell pacemakers\n",
            "84860 0.6877974318663671 teenager stress cardiomyopathy broken heart syndrome\n",
            "84861 0.8705052781344463 bulimia cause heart attack youre teen\n",
            "84862 0.8178131462795255 erectile dysfunction medication takes 100 mg twice day flecainide acetate\n",
            "84863 0.5873465583784683 magnetic field treatments pacemaker\n",
            "84864 0.7775109736960397 consume alcohol taking flecainide meds\n",
            "84865 0.729066826930825 detect heart injury accident ekg\n",
            "84866 0.5084096169474438 atrial fibrillation affect ed\n",
            "84867 0.823684957093732 tell difference heart failure myocardial infarction\n",
            "84868 0.5156369873624786 live cardiomyopathy\n",
            "84869 0.47511406185928673 certain medications causes dilated cardiomyopathy\n",
            "84870 0.7306536888780887 defibrillator removed inside body\n",
            "84871 0.7171319269687064 survive viral dilated cardiomyopathy taking required medications\n",
            "84872 0.8684574727421869 echocardiogram cause heart attack\n",
            "84873 0.520248918420943 automated external defibrillator police responders\n",
            "84874 0.08531597845253132 tramadol atrial fibrillation\n",
            "84875 0.3489817819248311 teenager viral cardiomyopathy\n",
            "84876 0.9088899677550223 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 0.8507530150150105 high blood pressure low pulse rate\n",
            "84878 0.5546847350518124 pacemaker fix cases atrial fibrillations\n",
            "84879 0.9140610814510737 tell normal heart rate blood pressure\n",
            "84880 0.8900990278509816 arrhythmias feel like\n",
            "84881 0.8997342979009179 explain heart beats pacemaker necessary\n",
            "84882 0.13753041447429118 atrial fibrillation lethal\n",
            "84883 0.7564665949737202 magnesium supplement help resolve pvcs\n",
            "84884 0.8359047210096291 prevent heart attack putting stent\n",
            "84885 0.8711928197442701 having heart attack morning blue right arm sore day progressed arm gotten painful stabbing pain radiates shoulder neck unusual terms\n",
            "84886 0.8468198388122699 anemia hands feet cool jump feet heart rate speeds hear pulse right ear\n",
            "84887 0.7913621537852964 teen heart attack\n",
            "84888 0.9303660682958184 viagold sexual performaance men high blood pressure im taking metoprolol 50mg twice day control\n",
            "84889 0.8881697072439564 explain supraventricular tachycardia svt 16 year old tested\n",
            "84890 0.6641830222190704 pulled chest muscle mistaken palpitations\n",
            "84891 0.9159993335936969 pulse rate different heart rate ant went dr said heart rate hige pulse rate low miss stand posable\n",
            "84892 0.8166057052631313 irregular heart beats caused gastric problems\n",
            "84893 0.8325310372935624 heart attack arteries heart okay\n",
            "84894 0.8566193762408083 getting upset cause tachycardia\n",
            "84895 0.5967637140456894 cardiologist eastern sc deals postural orthostatic tachycardia syndrome\n",
            "84896 0.5895570180775885 temper outburst heart disease plaque lining arterial walls catalyst plaque rupture consequent mi\n",
            "84897 0.877060995918773 tell taking persons pulse atrial fib\n",
            "84898 0.8979923066185588 pregnancy testing heart having dsrhythmia arythmia psvt\n",
            "84899 0.8314629790412109 heart attack cholesterol level 200\n",
            "84900 0.7546716824259638 thumb measuring heart rate\n",
            "84901 0.7395081552364757 wine aggravate arrythmia\n",
            "84902 0.9417798265589484 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 0.7374015927985494 explain telemetry monitoring telemetry floor mother cardiac patient pacemaker type 2 diabetic abnormal ekg elevated cardiac enzymes unresponsive cold suffered m\n",
            "84904 0.8980098405231817 heart rate high running\n",
            "84905 0.8750814538723345 pvcs rvot cause vt vf cardio said pvcs rovt benigm\n",
            "84906 0.9292445908441065 slow heart rate cause water retention looking answers suffered years problem know slow heart rate pac benign\n",
            "84907 0.8860173870406516 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 0.7765975489997956 coreg carvedilol cause joint pain\n",
            "84909 0.5638964278333825 baclofen implanted pump cause transient tachycardia\n",
            "84910 0.7364597620649876 long term pediatric adolescent use valium spastic cerebral palsy cause transient tachycardia adult\n",
            "84911 0.30555328658230246 cardiac arrhythmia cured\n",
            "84912 0.8900371168560017 bad bradycardia\n",
            "84913 0.681292594093899 die atrial flutter ignore\n",
            "84914 0.6752676070039453 die beta blocker overdose\n",
            "84915 0.8450986530849726 die heart attack ignore\n",
            "84916 0.27123926372593804 vasovagal syncope cured\n",
            "84917 0.37831317265067566 arrhythmia caused magnesium defficiency\n",
            "84918 0.9142875068542959 pvcs cause fast heart rate drinking\n",
            "84919 0.7266350872222661 die bradycardia ignore\n",
            "84920 0.6612192609054128 travel philippines 2012 pacemaker implanted dec 2011\n",
            "84921 0.8250955929438953 pvcs lead vtach\n",
            "84922 0.8937202191599826 person pvcs inboth vent time ok\n",
            "84923 0.9109437619348716 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 0.45800199017687304 die vasovagal syncope\n",
            "84925 0.5855037380391122 rheumatic fever cured\n",
            "84926 0.8398591906071818 die rheumatic fever ignore\n",
            "84927 0.7142819434262666 die rheumatic fever\n",
            "84928 0.6233182455043158 symptoms dizziness blurred vision caused metoprolol coversyl plus\n",
            "84929 0.792220605115848 dehydration cause heart palpitations\n",
            "84930 0.23567173828361276 excerdin toprol metoprolol xl excedrin migranes\n",
            "84931 0.5128382480113965 compare ventricular vs supraventricular tachycardia\n",
            "84932 0.5596330674722616 irregular heartbeat caused bystress\n",
            "84933 0.8555594106189706 anxiety cause silent heart attack\n",
            "84934 0.8432302627258556 swollen lymph node left temple fever chills headache body aches hard time breathing fatigue whats going\n",
            "84935 0.3521919778027257 renal artery stenosis treated stenting bypass\n",
            "84936 0.9236865711024125 raynauds treated right away\n",
            "84937 0.9050356432039575 help doctor years pain chest left center torch arm pit shoulder help ro heart\n",
            "84938 0.670677163416694 lpa tested great cholesterol count 94 hdl 47 ldl 34 triglycerides 64\n",
            "84939 0.8270177991998636 sudden leftside facial numbness lh fingers tingling headache bp wide fluctuation tia whats safe dose aspirin diagnosis\n",
            "84940 0.5784543906196434 brain aneurysm patient laparoscopic surgery\n",
            "84941 0.8399021622109899 severe tingling pain non continuous 15yrs middle ring litle finger right hand ho dbts htn tb hypothyroidc possibl causes tt\n",
            "84942 0.8973603940662193 smoke 6menthols day 10yrs getting short breath lately im standing short breath chest pain whats wrong\n",
            "84943 0.8958425607799032 heart hurts suddenly beats strongly hyperventilation little light headed goes away\n",
            "84944 0.8960466783653426 pain chest dont gone docs worrying cause pain\n",
            "84945 0.9372522910797876 exercise daily days m experiencing dull pain chest left worsen lying help\n",
            "84946 0.9547372728393184 stress test heart cath normal left chest daily pain spacli wake morning dont know seen doctors daily\n",
            "84947 0.9339212251587065 started eating cornstarch baby powder nd today heart hurt dont know think hve pica\n",
            "84948 0.8222939662654174 avoid coffee hypertension avoiding caffeine coffee doctor says hypertension\n",
            "84949 0.9176469686426962 soreness lower right tired time 48yrs old blood pressure meds female started 2 months ago\n",
            "84950 0.8748573981620582 short random sharp chest pain diabetic high blood pressure deal depressiom\n",
            "84951 0.8809253183227669 sore throat coughing nasal drip normal temp allegerys 6 days viral bacteral 61 years slighty high bp health probs\n",
            "84952 0.6508681844170825 shortness breath bloody cough shortness breath 56yearold smoker\n",
            "84953 0.8366341466715497 mother emergency room chest pain symptoms\n",
            "84954 0.926333058987697 sir suggest whats best thing regards ischemia undergo stress test doctor told ok normal\n",
            "84955 0.7175961133196098 severe pain right lung coughing shortness breath\n",
            "84956 0.8581071519945335 sharp pains left breast having pain tingling left arm shoulder wrist day long 12 hours concerning\n",
            "84957 0.7932745432084789 severe headache followed diahrrea nauseous temp 96 4f grandfather died brain aneurysm worries flu worse\n",
            "84958 0.8285515548134327 son surgery coarctation aorta brain cooled 25 degrees possible long term effects associated brain cooling\n",
            "84959 0.8116371815469661 neck tight scapula muscles tight giving slight anxiety shortness breath whats problem positivesmiley\n",
            "84960 0.6873231600241578 shortness breath burning sensation pains chest lot burps fatigue\n",
            "84961 0.7017878238515022 patients situs inversus extra caution\n",
            "84962 0.7710415696992768 contact doctor fainting having slight pain coumadin warfarin\n",
            "84963 0.9250096983247874 sir operated open heart surgery pulmonary r p 1year having problem want punch punching bag\n",
            "84964 0.8277199811538385 shakiness awareness heartbeat pressure head\n",
            "84965 0.9185273696854747 sir bp remain 13594mg generally ayurvedic medicine muktavati 11282 distolic high compare systolic\n",
            "84966 0.5997733666993796 gp pulmonologist emphysema management\n",
            "84967 0.7920671457585532 swollen feet numbness daheria went gp doctor said feet inflammation\n",
            "84968 0.6948480702516401 squamous cell carcinoma esophageal cancer prsently spreaded wind pipe 25mm distance heart tumer growth 11cm chnces cure\n",
            "84969 0.8355738634517318 sudden sharp pain starting thigh calf fractured l3l5 4 yeara ago relation dvt 28f exercise regularly\n",
            "84970 0.8644947293664628 strokeswishing sound earswould surgery answer stroke victim 2 years\n",
            "84971 0.8840085197645712 times day standing exercise heart gives sudden thump jumping dropping sensation dangerous\n",
            "84972 0.8404720193582824 sharp pains mid lower comes goes takes breath away nausea vomiting\n",
            "84973 0.7945197169494425 feels like chest pain left left forearm numb tingly pain left shoulder blade\n",
            "84974 0.6909035551074244 effects low inr\n",
            "84975 0.939461798728168 got 4 positive hpt day sex faint day test 3 plus confirmed clinic im 3 days pregnant impossible\n",
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            "84979 0.8540743164021716 doctor cold symptoms breathing troubles night methotrexate humira adalimumab\n",
            "84980 0.8307299233040892 sharp chest pain sleeping left\n",
            "84981 0.8110286419824142 seek medical attention severe itching body vomiting chest pain cough fever headache ect\n",
            "84982 0.9186713658909972 time heart beat blood pressure good ha e fee\n",
            "84983 0.565225760286936 diabetic patient coumadin warfarin mouth dental extraction\n",
            "84984 0.8749479195661769 related burning second small toe high blood pressure 170111 severe hbp reading\n",
            "84985 0.7734381823474307 symptoms seated head knees dizzy passing verge unconsciousness 15 minutes\n",
            "84986 0.8188985655771627 short breath standing laying fighting sinus infection feel little dizzy chest pain arm pain\n",
            "84987 0.8016358453766612 stomach flutters left abdomen im 43 hysterectomy know pregnancy\n",
            "84988 0.8966321269750668 started dexilant dexlansoprazole month ago reflux better wosening tinnuitis chest tightness blurry vision leg going sleep quit\n",
            "84989 0.9256969278095543 sir 10 weeks pregnant scan result shows heart beats hope waiting\n",
            "84990 0.858990175152052 sholder pain moving arm isit heart sholder cuff er told coming heart\n",
            "84991 0.8727763904732365 sharp pain chestnear heart started yesterday hurts coughs breaths similar pain diff dad 45 yo\n",
            "84992 0.8143313327215514 shocking pain right neck shoots chest right ear burns right shoulder goes numb arm hearts\n",
            "84993 0.922314474498512 worry quick sharp pain near heart gas feel depression sporadic 16 times year\n",
            "84994 0.8521212595793678 like theres heartbeat stomach\n",
            "84995 0.6699518403108686 fish oil capsules chlortrimetonallery tablets sickness\n",
            "84996 0.7948385558822721 drink orange juice soft cardiac diet\n",
            "84997 0.7693657566801617 severe heartburn chest pain vomiting food drink 12hrs\n",
            "84998 0.8399818514928022 fingers feel swollen big night laying downsleeping wake\n",
            "84999 0.8181087961497313 foods help lower cholesterol\n",
            "85000 0.753361307652954 difference generic prescription blood pressure medications\n",
            "85001 0.8995270436903179 different btwn cardio workout stressful situations hr goes 150 train heart healthy\n",
            "85002 0.7691043215707651 kind doctor diagnose pansystolic murmur\n",
            "85003 0.8783997002117708 mean testosterone high blood pressure low\n",
            "85004 0.7367507646056978 heart disease hcm causes\n",
            "85005 0.829347884473341 cause intense heart pains\n",
            "85006 0.851115346339256 cause murmur heart\n",
            "85007 0.6923241021941396 double cardiac catheterization\n",
            "85008 0.8181124535348828 better arthritis cod liver oil fish oil\n",
            "85009 0.20443060260213824 mild pulmonary regurgitation\n",
            "85010 0.9028851266656158 raynauds cause pemanent levido reticulares upper right quadrent signify autoimmunity\n",
            "85011 0.8793978895722928 difference antiplatelets anticoagulants\n",
            "85012 0.4148190614490073 cause swollen lymph nodes aorta\n",
            "85013 0.9246813870413458 blood pressure medicine rest life\n",
            "85014 0.8461333815679309 relationship inflammation heart carditis infection group betahemolytic streptococci\n",
            "85015 0.8318767935850852 breathe chest feels cold makes cough congestive heart failure\n",
            "85016 0.8643205663174087 stop coughing having trouble breathing makes weak\n",
            "85017 0.8804802489058274 sitting straight apical pulse right place leaning left apical shifts left abnormal cardiomegaly\n",
            "85018 0.9213315057298834 dulera formoterol mometasone help breathing problems\n",
            "85019 0.8027350754026972 pain angina brought exercise stress\n",
            "85020 0.4672830285483922 cardiovascular cartography machine\n",
            "85021 0.7313715398213734 causing aching tightness chest heart area\n",
            "85022 0.8914776538988537 cause resting blood pressure increase matter days approx 13385 160112 high 194122 chest pain\n",
            "85023 0.882920691911991 heroin addicts end needing heart surgery\n",
            "85024 0.3069311705239248 differences tricuspid pulmonary mitral valve\n",
            "85025 0.5623051011222506 exercises surgery thoracic outlet syndrome\n",
            "85026 0.34737618193215436 reversible ischemia anterior lateral wall\n",
            "85027 0.9287725535605228 happens heart valve doesnt close way\n",
            "85028 0.05638053414342852 trivial mitral regurgitation\n",
            "85029 0.87719317259225 causes rear chest pain swallowing feels like food stuck pass dont problem breathing\n",
            "85030 0.8894994960717837 balloon valvuloplasty help issues indicate procedure help patient\n",
            "85031 0.5569320772018288 omega3 supplements contain cholesterol\n",
            "85032 0.8243565417759642 whats stress thallium test\n",
            "85033 0.34289874027305595 symptoms chf copd\n",
            "85034 0.6687388613309307 difference aneurysm hemorrhagic stroke\n",
            "85035 0.839878071245837 tell leaking heart valve\n",
            "85036 0.7331820892168842 av valves heart located\n",
            "85037 0.8538851278595305 someones heart feel like jumps\n",
            "85038 0.9174162190413725 issues problems heart person indicate balloon valvuloplasty right decision choice\n",
            "85039 0.760800069727347 doctors recommend alleviate dyspneawheezing\n",
            "85040 0.7838909533318114 pain running left arm numbness shortness breath ringing ears 1 to2 days\n",
            "85041 0.9412825020031965 kind high blood pressure medicine good elderly people\n",
            "85042 0.8793978895722928 difference arteriosclerosis calcification\n",
            "85043 0.8687814806686348 whoat exactly cholesterol body\n",
            "85044 0.8132774928502983 causes pulse feel arm blood pressure measurements\n",
            "85045 0.7730779833266205 impossible run gasping air\n",
            "85046 0.7980967121372706 cause severe rib pain\n",
            "85047 0.585959527948658 kinds health poblems caused blockages coronary arteries\n",
            "85048 0.7348995454195437 reliable test thalium scan echocardiography\n",
            "85049 0.7268265076631502 causes pulsating artery neck normal multiple veins neck clearly standing\n",
            "85050 0.6245832040874021 4 leaky heart valves\n",
            "85051 0.8727241072041243 waking middle night gasping air choking saliva think burning throat im terrified dont want sleep\n",
            "85052 0.8604205663898326 someones heart feels like burning\n",
            "85053 0.7265295724870225 risks pregnancy complex congenital heart disease\n",
            "85054 0.8448718228107499 heart attack normal ekg\n",
            "85055 0.6616347650566714 consumption alcohol safe causes tachycardia\n",
            "85056 0.6684348542758519 use defibrillator\n",
            "85057 0.7185497556992092 sleep holter monitor\n",
            "85058 0.6181951670179524 bluetooth receiver mess pacemaker\n",
            "85059 0.8278434292836832 drink gatorade exercise stress test\n",
            "85060 0.7458509110752063 alcohol heart palpitations\n",
            "85061 0.9100874006976508 years high blood pressure cause heart attack\n",
            "85062 0.8262623679426901 gas stomach cause heart palpitations\n",
            "85063 0.6634700920450195 tell ectopic atrial tachycardia ablation avnrt breakthrough episodes doc says\n",
            "85064 0.8212965393436404 low estrogen cause heart palpitations\n",
            "85065 0.8639705344263834 actually die continued laughter maybe arrhythmia\n",
            "85066 0.840178328423859 ptsd stress cardiomyopathy k broken heart syndrome connected way\n",
            "85067 0.5314941551233949 young adults atrial fibrillation\n",
            "85068 0.6609709038671691 chest tightness difficult breathing deeply palpitations 911\n",
            "85069 0.8679054968597858 potassium given injection form elderly mother problem low potassium tablets sick stomach\n",
            "85070 0.8397925470749459 heart rate 200 beats minute sinus tachycardia\n",
            "85071 0.8481966269768794 stroke caused irregular heart beat low heart rate\n",
            "85072 0.2735860500013193 pacemaker revive fatal arrhythmia\n",
            "85073 0.9066722295331979 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 0.8265530660907907 anxiety cause silent heart attack angina\n",
            "85075 0.7722424688147684 low dopamine levels cause cardiac dysfunction thanks read low dopamine levels related parkinsonsone symptoms autonomic dysfunction include cardiac problemsracing pounding palpitations\n",
            "85076 0.7816229905843677 wine alcohol heart palpitations\n",
            "85077 0.8605245541959431 having lot stress causes silent heart attack angina\n",
            "85078 0.8430737621474016 going estrogen cause palpitations\n",
            "85079 0.8921674298197902 heart attack result missed delayed period perimenopausal woman\n",
            "85080 0.7012994334631103 melatonin cause irregular heartbeat\n",
            "85081 0.8125254218952717 ear ringing caused hi bp choleserol meds meds im bp ramipril metoprolol tartate choleserol crestor rosuvastatin\n",
            "85082 0.8876721621427346 claritind cause rapid heart rate\n",
            "85083 0.7630677698815791 pounding heart caused dehydration dehydration cause weak heartbeat\n",
            "85084 0.8142669694700407 heart attack bmp normal\n",
            "85085 0.6941444826031724 vagal nerve stimulation device cause cardiac arrest\n",
            "85086 0.9140691032460374 overthecounter cold medicine cause rapid heart rate grader\n",
            "85087 0.9108417475807637 baby tachycardia time\n",
            "85088 0.8497212176626264 having stroke heart attack cause erectile dysfunction\n",
            "85089 0.6791216280365461 implanted internal defibrillator shock unborn baby\n",
            "85090 0.8731190556847811 broken heart syndrome sob time\n",
            "85091 0.8409338370840796 arrhythmia cause symptoms like dyspnea\n",
            "85092 0.4421967262285036 electrocardiogram detect blocked coronary arteries\n",
            "85093 0.8425729881289674 hyperkalemia hypernatremia occur time iv fluid\n",
            "85094 0.9059814713836618 high blood pressure low heart rate time\n",
            "85095 0.361298696986727 pericardial effusion lead myocardial infarction consequence\n",
            "85096 0.8723294691019773 eat drink light nuclear exercise stress test\n",
            "85097 0.8504654245418325 bad kidney causes pain cause hypokalemia\n",
            "85098 0.7700448995068698 coronary artery disease cause problems causing heart attack\n",
            "85099 0.8598214001230038 person long qt syndrome die suddenly\n",
            "85100 0.8701719730366073 pain mess increase heart rate\n",
            "85101 0.9026922569674649 exess exercise cause fast heart rate\n",
            "85102 0.6859057312583609 24 holter monitor catch abnormality heart\n",
            "85103 0.6659320824975984 digitalis abnormal heart rhythms\n",
            "85104 0.90272663582869 energy drinks affect heart rate\n",
            "85105 0.7926897625425943 fibroid cysts heavy periods cause dizziness lightheadedness loss balance ekg tilt table thyroid stress test good\n",
            "85106 0.43487669868956835 alcohol induce cardiac arrhythmia\n",
            "85107 0.8840675753621031 disability long qt syndrome\n",
            "85108 0.20266465159807245 reverse dilated cardiomyopathy\n",
            "85109 0.55793237683285 ventricular tachycardia cause blackout\n",
            "85110 0.9154142289417604 stress wo health issues cause heart attack suffer anxiety clean health\n",
            "85111 0.7913388259850145 heart arrhythmia passed child\n",
            "85112 -0.02859311473478505 catheter ablations wpw\n",
            "85113 0.20277004544847962 adderall dextroamphetamine racemic amphetamine paroxysmal supraventricular tachycardia\n",
            "85114 0.8527203993860933 tell whats supraventricular tachycardia\n",
            "85115 0.9204111075043682 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",
            "85116 0.8896845466716202 ekg unborn baby pregnant tell babys heart rate\n",
            "85117 0.7572107668195381 patient cardiac difbralator treated amiodarone\n",
            "85118 0.7245121793482315 metoprolol digoxin lanoxin taken time\n",
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            "85123 0.8644008293971016 effects beta blocker continue 8 hours\n",
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            "85125 0.5615196337502241 shower holter monitor\n",
            "85126 0.8319509559189947 chest pain heart attack 5 days muscular pain\n",
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            "85129 0.6286600556184195 list symptoms myocardial infarction women\n",
            "85130 0.6713664610851704 cardiac electrophysiology information\n",
            "85131 0.7777458884464342 tell early signs symptoms myocardial infarction\n",
            "85132 0.6883828164930799 drug overdose lead death hypertrophic cardiomyopathy condition genetic\n",
            "85133 0.7895947259492471 holter monitor feel stressed\n",
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            "85135 0.9332744575850821 lexapro escitalopram cause right bundle branch block return normal stopping medication\n",
            "85136 0.8844597222213222 believe silent mi unlikely diagnostic tests heart attacks correct\n",
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            "85142 0.7245121793482315 metoprolol digoxin lanoxin taken time\n",
            "85143 0.9319588114431309 tell symptoms heart block\n",
            "85144 0.8683289845826235 degree heart block reversed\n",
            "85145 0.4394374556450417 teen outgrow postural orthostatic tachycardia syndrome pots\n",
            "85146 0.8667081027856932 3 weeks having mild radiating chest pain upper arm heart diagnostic tests normal advise\n",
            "85147 0.5383797700399667 coumadin warfarin thins blood prevent new clots forming coumadin warfarin actively dissolve clot formed\n",
            "85148 0.7982544018366888 symptoms raspy cough includes chest pain right pain hip tummy pain right pain shoulder blade nausea heartburn\n",
            "85149 0.8560618832231776 sir pain upper shoulder s hearts breath deep\n",
            "85150 0.8085774720697682 sed rate 65 anemeic recently panic attacks lupus anticoluglant elevated 8 2 severe joint pain\n",
            "85151 0.8575993458450485 son 2 years old blue lips vomiting advice\n",
            "85152 0.9051223368299801 stress test ame ok said reversible ischemia whats mean gonna die 10 positives test\n",
            "85153 0.8858865192013727 spikes blood pressure lifestyle like smoking drinking stress major cause cluster headaches\n",
            "85154 0.7693652332860511 people aware cardiovascular diseases\n",
            "85155 0.8831479186928893 swelling entire body stomach liver kidney thyriod heart tests normal drs stumped edema need help\n",
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            "85157 0.8263692718218106 pain ear head ares wrong positioning im paranoid aneurysm\n",
            "85158 0.7714014870409283 sholder chest pain feal sore muscles chest arm feel pain scapula heart related\n",
            "85159 0.634887465635287 severe rectal pain bowel movement causing fainting condition\n",
            "85160 0.9491525064754109 sholder chest pain left thing evry day help tell help 3 cardiologist cleared heart doctor d k\n",
            "85161 0.6248635604858446 second opinion coumadin warfarin prescription\n",
            "85162 0.8447101287006903 tendancy isolated systolic hypertension diastolic stays normal docs tried meds diastolic drops low treated\n",
            "85163 0.8228782200456324 worried emphysema age 1920\n",
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            "85165 0.8374179130918582 heart races million shortness breadth happen\n",
            "85166 0.8255183448967519 unconscious 2 days subarachnoid hemorrhagic stroke entire body responsive commands\n",
            "85167 0.9125350756189096 skipping heart beat having meal sleeping eating pattern changed vacations started smoking solution\n",
            "85168 0.8654483817912577 sharp pain lower left abdominal week lower pains recently shortness breath help\n",
            "85169 0.8775378674921863 servere external pain left throat trouble breathing swallowing left wo soreness feels like sort blockage help\n",
            "85170 0.8756492454762562 sharp pain 2 3 sec localized area heart located happens 1 month angina\n",
            "85171 0.8709724507269047 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 0.8671693819131339 started taking prazosin ptsd began getting uncontrollable head movements thoughts\n",
            "85173 0.834413845524744 impossible equal diastolic sytolic pressure\n",
            "85174 0.9036361358635768 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 0.7650686020596571 salty clear phlegm mucus little bubbles similar mucus nose mucus cough morning chest pain fev\n",
            "85176 0.5220470155919087 swelling upper abdomen headaches swollen feet\n",
            "85177 0.7955621762631649 concern leg pain heart disease hypertension\n",
            "85178 0.848144740896341 gave lung congestion doctor took coversyl blood pressure medicine congestion thanks\n",
            "85179 0.5867017690330706 statin pain duration\n",
            "85180 0.8918532308346494 sudden shortness breath rest feels like flush fluid chest heart beats hard stress cardiac tests ok scary feeling whats\n",
            "85181 0.4544277606367343 symptoms anyurysm\n",
            "85182 0.915073863742865 like stars n time feel imbalanced like gonna fall y happening\n",
            "85183 0.7940558953596365 think raynaud disease\n",
            "85184 0.7460388703480415 sore throat dry mouth flem trouble swallowing chest pains headaches blocked nose\n",
            "85185 0.9206096894431993 silent migraine tia 26yr f 8 mos pregnant experienced sudden peripheral vision lossblurrydouble vision rt eye got little dizzy lasted 10 sec\n",
            "85186 0.8349367332047607 worried unusual chest pain\n",
            "85187 0.8827570467138599 cautious pfo dangerous n ask dct close reccomended pros n cons pfo\n",
            "85188 0.9187975349257448 scared miscarriage scared im going dr d heartbeat chances im 7w 3d mc sept\n",
            "85189 0.7805088226415031 severe chest tightness heaviness pain left arm causes going 6 yrs\n",
            "85190 0.8076250252183094 sleep pillow fluid heart\n",
            "85191 0.7721821256201502 worried amniotic fluid embolism pregnancy pregnancy lost baby placental abruption 39wks\n",
            "85192 0.8228476290112471 soft patch roof mouth accompanied difficulty breathing happening\n",
            "85193 0.8442668227062093 avoid drinking alcohol high cholesterol borderline blood sugar\n",
            "85194 0.8147159492714976 swollen throat hot flashes bad earache bad migranes dizziness lightheaded trouble breathing going day half\n",
            "85195 0.8722829783899306 shooting pains left fist heart problems related\n",
            "85196 0.7584590357913 shortness breath foot swelling fatigue depression right rib cage soreness mean\n",
            "85197 0.34326623142696805 effects angiotensin receptor blockers\n",
            "85198 0.8294430341832171 sugar diagnosed fbs 138mgdl bilirubin 1 9 sgot 252 sgpt 450 usg shows fatty changes blood pressure 13095 weight 100kg\n",
            "85199 0.9075834453360505 setting eating lunch working felt sudden dizzy headvertigo wanted fall hold head seconds causes\n",
            "85200 0.8185570501441031 short breath 6 days lung collapse removal bleb surgery total lung inflate 5th day\n",
            "85201 0.8436358055910251 slight calf pain standing certain positions walking standing laying oth sym dvt\n",
            "85202 0.7702280091380933 sore swollen foot gout gone 2 weeks purple skin peeling explaination\n",
            "85203 0.8659182337310432 stress test heart cath beter results\n",
            "85204 0.7347879393382728 sharp pain middle chest upper abs hurts cough sneeze tender touch sternum causes shortness breath lightheaded\n",
            "85205 0.8225356970441282 strange dropping sensation chest makes breathing short heart fast ct scan clear chest xray clear pulmonary embolism dvt\n",
            "85206 0.9072982882843476 sarcoidosis ace level 98 second ace level 111 dr thinks sarc meds ms mg cause\n",
            "85207 0.9274065507613461 saturday feeling dizzy happen blood pressure low check bp 10070 wpulse 79\n",
            "85208 0.8088617099794037 severe pain rib cage starts sides moves center severe sweating shallow breathing cardiac testing\n",
            "85209 0.8435806818337037 stress anxiety preventing belly breathing try belly breathe lot stick mucus comes chest tight\n",
            "85210 0.8012890713074434 blood pressure medication hypertensive retinopathy\n",
            "85211 0.715592898904082 severe headaches migraines earache aching eyes feel extremely sick brain aneurysm\n",
            "85212 0.8157774555074557 sever swelling abdomen legs ankles severe headache alcoholic high blood pressure whats wrong\n",
            "85213 0.891765867672983 suggest uncle got stroke suffering brain hemorrhage stroke affect half body right\n",
            "85214 0.792568668447992 symptoms hole heart\n",
            "85215 0.8793978895722928 difference arteriosclerosis ateroesclerosis\n",
            "85216 0.6033286172333912 doctor scleroderma\n",
            "85217 0.8123929340607488 dose coversyl medication blood pressure 13399\n",
            "85218 0.8967147719888138 exactly heart located body\n",
            "85219 0.8074488833826092 middle chest hurt\n",
            "85220 0.7643070363102266 explain dyspnea normal oxygen saturation\n",
            "85221 0.8074880646256419 better brain flaxseed oil fish oil\n",
            "85222 0.3699002288979758 clear clogged arteries\n",
            "85223 0.8398944502525393 foods drinks help lower cholesterol\n",
            "85224 0.6371912667578327 severe headache taking plavix clopidogrel\n",
            "85225 0.7606773892111708 think drug ventavis iloprost treating pulmonary hypertension\n",
            "85226 0.640670921406668 treatments moderate leak pulmonary heart valve\n",
            "85227 0.38153273790750225 omega 369 capsules\n",
            "85228 0.7929809372184262 causes rise blood pressure\n",
            "85229 0.4278647804156235 organs cardiovascular\n",
            "85230 0.8611327900275855 doctor studies human hearts\n",
            "85231 0.8104902444159033 health benefits fish oil\n",
            "85232 0.7945905693661536 happens 27 sandozcandesartan plus 1612 5 mg\n",
            "85233 0.49427056864450514 nutritional difference proteins lipids carbohydrates\n",
            "85234 0.8799822461700813 medical terms heart dropping shivers spine\n",
            "85235 0.9166040253919173 happen doctor prescribes cardizem 62 year old man normal blood pressure\n",
            "85236 0.8332088071491056 difference cardioversion tee cardioversion\n",
            "85237 0.7574627915732364 stroke survivors experience respiratory problems\n",
            "85238 0.5525156601065703 signs symptoms atherosclerosis\n",
            "85239 0.7875926347539316 acronym help assess stroke patients\n",
            "85240 0.8707394316370843 like info congestive heart failure\n",
            "85241 0.8931640448328124 patient able bisoprolol bblocker\n",
            "85242 0.4432454536961048 difference malar flash mitral stenosis rash sle\n",
            "85243 0.7343218485368271 specialist consult continuous undiagnosed chest pain\n",
            "85244 0.8045439953681033 variety hawthorn beneficial heart\n",
            "85245 0.8511591360596159 harder breath im neck deep water standing sitting like pressure chest hard breathe\n",
            "85246 0.7597517769331322 optimal range blood pressure levels\n",
            "85247 0.5829302664795867 tests cardiologist\n",
            "85248 0.9179494523318188 mean hard time breathing im sitting inhaler helping\n",
            "85249 0.7971982434584914 risks developing blot clotpulm embo controlled blood pressure pulm hypo cleared cardio heart cath issues\n",
            "85250 0.9129339846452308 expect echocardiogram\n",
            "85251 0.882548539252442 difference rightsided heart failure leftsided heart failure\n",
            "85252 0.8051225970580034 headache usually located pheochromocytoma\n",
            "85253 0.6577361643887674 cardiac stress perfusion scan mra highlight pulmonary hypertension present\n",
            "85254 0.8566333053328168 sitting stood secs walking left eye got blurry rubbed disappeared sec tia mom said worry\n",
            "85255 0.8134731171045024 physical fitness plan reduces blood pressure\n",
            "85256 0.8829069553158534 thrombolytic drugs appropriate treating heart attacks\n",
            "85257 0.8495569878010937 happen took seven 80 mg tablets telmisartan\n",
            "85258 0.848053090001209 woken onoff chest pain followed horrible acid reflux gerd bad scary cardiac instead\n",
            "85259 0.8243997369472625 panic attacks chest gets tight breathe harder chest hurts normal panic attack\n",
            "85260 0.5200924051438737 possible vasculitis lymph nodes swell\n",
            "85261 0.6823963682305404 asd atrial septal defect cause fatigue\n",
            "85262 0.9090203136092088 happens consume whey protein 50mg everyday drink water working fine workout tia\n",
            "85263 0.7220658895916371 ett result positive coronary angiogram result negative\n",
            "85264 0.7407525479268061 commercial clonidine india\n",
            "85265 0.9050123929587818 blood pressure taken stethoscope sphygmomanometer come point pulse sound heard\n",
            "85266 0.732949891129929 blood pressure measured stethoscope sphygmomanometer pulse heard pressure decreases\n",
            "85267 0.9192274437816881 long eating 3 hrs weak start panic feel short breath whats wrong\n",
            "85268 0.6978319731180901 blood pressure medication commonly prescribed\n",
            "85269 0.20143720444317667 noninvasive cardiologist\n",
            "85270 0.6553744051075575 mean concentric left ventricular hypertrophy\n",
            "85271 0.8717105946163036 cause cramps left neck happening lot quadruple bypass 9 months ago\n",
            "85272 0.8396548742677741 heart burn\n",
            "85273 0.6629556723389032 difference angelman syndrome williams syndrome\n",
            "85274 0.8832545223362902 proper diet diabetic man angioplasty age 56\n",
            "85275 0.7783454908282185 differences anticoagulant antiplatelet agent medication\n",
            "85276 0.3313825260039471 rationale combining injection phenergan promethazine fortwin pentazocine\n",
            "85277 0.8783880363823907 best conventional angiography ct angiography\n",
            "85278 0.9325066605532317 unique taking medicine 24 hours effect md told 10mg simvistatin day ideas\n",
            "85279 0.9084605571475334 treat following sypmtoms pain radiate left leg difficulty moving legs high bp 180100 abdomen pain rit s\n",
            "85280 0.9203981410009646 explain incomplete right bundle branch block\n",
            "85281 0.6634803354791098 pacemaker receive radiation therapy near pacemaker\n",
            "\n",
            "\n",
            "Question:  whow to keep good health\n",
            "\n",
            "\n",
            "Retrieved:  i just want to know that does the general motors diet work? is it safe and gives good results if strictly followed?\n",
            "please check your general motors diet against \"nuval\". nuval is online and lists the good not so good and bad foods. i know nothing about the general motors diet. please let me know when you have compared the two.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A7cHSvBHidRO"
      },
      "source": [
        "#Implementing Chatbot using Glove"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tnBQQ6OoJK8C"
      },
      "source": [
        "#embedding the exsiting dataset\n",
        "sent_embeddings=[];\n",
        "for sent in cleaned_sentences:\n",
        "  sent_embeddings.append(getPhraseEmbedding(sent,glove_model));"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ar79m_aWT-O-",
        "outputId": "7a630699-1a2d-4114-f805-c86c7442f336",
        "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,glove_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 take care of health?\n",
            "Answer: hi toocute1 those are normal numbers!\n",
            "----------------------\n",
            "Response Time 15.49782395362854\n",
            "----------------------\n",
            "\n",
            "\n",
            "Enter Quit to exit: \n",
            "Question:\n",
            "Which food is healthy?\n",
            "Answer: although some feel queasy eating red meat when they have abstained for a long while there are no ill health effects. interestingly the gut bacteria of meat eaters release tmao after digesting steak which has been linked to heart attacks and strokes. vegans who tried red meat as part of this nejm study lacked these gut bacteria and did not have any increase in tmao after a one day red meat binge.\n",
            "----------------------\n",
            "Response Time 15.411398887634277\n",
            "----------------------\n",
            "\n",
            "\n",
            "Enter Quit to exit: \n",
            "Question:\n",
            "Quit\n",
            "----------------------\n",
            "Thank You\n",
            "----------------------\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "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": "9fd02c14-bbad-4a1e-938d-80adb61e7e96",
        "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": "06041aee-388b-4a28-e946-d9e4d5e22cf4",
        "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",
              "    }\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 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",
              "      <td>How are the DS jobs on the market, please?</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 is DS hiring impacted due to Covid?</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>In a data scientist what qualifications and at...</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>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",
              "      <td>NaN</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>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",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>NaN</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>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": "574c41d5-83ad-4a39-b2e1-c0ff082d638d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "#cleaning test data questions\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": "33fd0d2f-b0cd-4919-9a64-b5aa61214f76",
        "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": [
        "##Glove Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QJd97SSMzvWQ",
        "outputId": "918fcf78-08d4-45df-e394-ba2e5940b720",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "glove_model=None\n",
        "try:\n",
        "    glove_model = gensim.models.KeyedVectors.load(\"glovemodel.mod\")\n",
        "    print(\"Loaded glove model\")\n",
        "except:            \n",
        "    glove_model = api.load('glove-twitter-25')\n",
        "    glove_model.save(\"./glovemodel.mod\")\n",
        "    print(\"Saved glove model\")\n",
        "\n",
        "glove_embedding_size=len(glove_model['computer'])"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded glove model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qF26zdNAzvWV",
        "outputId": "c5763303-a53a-4c76-c784-6939577b218d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "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",
        "\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mcAo9vJT80_Y"
      },
      "source": [
        "#With glove for original question dataset\n",
        "import numpy\n",
        "sent_embeddings=[]\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,glove_model))"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LwCPa1iM92k2"
      },
      "source": [
        "#With glove 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,glove_model))"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "czRpjKFj_35p",
        "outputId": "57d4afe4-09bf-4c21-eaa6-ab36bf1c4c0d",
        "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:  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 is ds hiring impacted due to covid\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:  in a data scientist what qualifications and attributes do employers look for\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:  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:  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:  what is the mathematical background needed to be a data scientist \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 many rounds of interview are in a data science interview \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 proficient a data scientist has to be in coding\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"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J-Y59iBfAQcn",
        "outputId": "93c31095-d707-4993-aa90-c26105a01ae0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "source": [
        "df_test"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
              "    .dataframe thead th {\n",
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              "</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",
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              "      <th>0</th>\n",
              "      <td>How is the job searching experience nowadays?</td>\n",
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              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "    </tr>\n",
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              "      <th>8</th>\n",
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              "    </tr>\n",
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              "    </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?  ...   What does the job hunting experience look like ?\n",
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              "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...  ...  How does a typical day of a data scientist loo...\n",
              "7  What is the mathematical background needed to ...  ...  How does a typical day of a data scientist loo...\n",
              "8   How many rounds of interview are in a data sc...  ...  How does a typical day of a data scientist loo...\n",
              "9  How proficient a data scientist has to be in c...  ...  How does a typical day of a data scientist loo...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I0d5jdxhBPsv",
        "outputId": "2e504712-84b8-40fa-c485-c0b57d432f31",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "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>How does a typical day of a data scientist loo...</td>\n",
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              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Are employers looking for an advanced ML degree?</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>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>6.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>Is preparation of algorithms and data structur...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</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>6.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What is the mathematical background required t...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</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>6.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What are the various rounds in a data scientis...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</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>6.0</td>\n",
              "      <td>InCorrect</td>\n",
              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</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?  ...   What does the job hunting experience look like ?\n",
              "2            How is DS hiring impacted due to Covid?  ...  How does a typical day of a data scientist loo...\n",
              "3  In a data scientist what qualifications and at...  ...  How does a typical day of a data scientist loo...\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...  ...  How does a typical day of a data scientist loo...\n",
              "7  What is the mathematical background needed to ...  ...  How does a typical day of a data scientist loo...\n",
              "8   How many rounds of interview are in a data sc...  ...  How does a typical day of a data scientist loo...\n",
              "9  How proficient a data scientist has to be in c...  ...  How does a typical day of a data scientist loo...\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": "254cf0b1-4516-48fe-cc4b-c97408b60c23",
        "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([[[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",
              "       [[3, 6],\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",
              "        [1, 0]]])"
            ]
          },
          "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": "f4bc44d9-78d9-46cb-ed64-e9796369a8c4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "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": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "13LA4OWABoHB",
        "outputId": "f7812c12-d646-432d-835f-8b74a44ce736",
        "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       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       0.14      1.00      0.25         1\n",
            "           7       0.00      0.00      0.00         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                           0.30        10\n",
            "   macro avg       0.16      0.30      0.19        10\n",
            "weighted avg       0.16      0.30      0.19        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"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ir6X0bCYJguF"
      },
      "source": [
        "#Dataset3-Medium"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LarQQK-wJguJ"
      },
      "source": [
        "##Import Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3kGWW2wzJguK",
        "outputId": "917ebef9-0592-4651-805b-771f00ed8957",
        "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": "c313UpyXJguV",
        "outputId": "9efe85df-d2df-42d7-c97e-aea9e333a0cd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "#Load dataset and examine dataset, rename columns to questions and answers\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",
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              "    <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",
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              "      <th>6</th>\n",
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              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>How many rounds of interview are required to c...</td>\n",
              "      <td>9</td>\n",
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              "      <td>10</td>\n",
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              "  </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",
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              "6  For an interview in data science are we requir...  ...                NaN\n",
              "7  What is the mathematical background required t...  ...                NaN\n",
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              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I_FoZcMNJguY"
      },
      "source": [
        "##Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tbZnxBCpJguZ",
        "outputId": "90b56648-98cf-4401-e53b-2395fd6225aa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "#cleaning test data questions\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": "BIv3w7E9Jguc",
        "outputId": "4d4ed0f3-f112-444c-a7ca-cf9828605c5c",
        "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": "30w9GfhDJguf"
      },
      "source": [
        "##Glove Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f3tFIhjFJguf",
        "outputId": "c15a98f6-2309-4aaf-cf61-8dc6e2c9c806",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "glove_model=None\n",
        "try:\n",
        "    glove_model = gensim.models.KeyedVectors.load(\"glovemodel.mod\")\n",
        "    print(\"Loaded glove model\")\n",
        "except:            \n",
        "    glove_model = api.load('glove-twitter-25')\n",
        "    glove_model.save(\"./glovemodel.mod\")\n",
        "    print(\"Saved glove model\")\n",
        "\n",
        "glove_embedding_size=len(glove_model['computer'])"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded glove model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DzWYLLmdJguj",
        "outputId": "c999c9d5-4ef8-4236-8d1a-c95dc7dcd185",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "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": "Ya6zaWZ-Jgum"
      },
      "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",
        "\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_IP55M0BJguo"
      },
      "source": [
        "#With glove for original question dataset\n",
        "import numpy\n",
        "sent_embeddings=[]\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,glove_model))"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3vrFHKDSJguq"
      },
      "source": [
        "#With glove 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,glove_model))"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wtfFYDu-Jgus",
        "outputId": "ddf2524c-d9a8-446c-e6b2-33ffbd4e7172",
        "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:  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:  please provide how ds jobs are in the market\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 has the covid impacted ds hiring\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:  what skills do employers want from data science positions\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:  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:  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:  what is the mathematical background required to be a data scientist \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 many rounds of interview are required to clear data scientist interview \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 proficient a data scientist should be in coding\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"
          ],
          "name": "stdout"
        }
      ]
    },
    {
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        "id": "k968se5HJguu",
        "outputId": "2ad40a0e-abd4-4d14-b02e-113026583a7b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "source": [
        "df_test"
      ],
      "execution_count": 38,
      "outputs": [
        {
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            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0      How does job searching experience would look?  ...  How does a typical day of a data scientist loo...\n",
              "1      Please provide how DS jobs are in the market?  ...   What does the job hunting experience look like ?\n",
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              "3  What skills do employers want from data scienc...  ...  How does a typical day of a data scientist loo...\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...  ...  How does a typical day of a data scientist loo...\n",
              "7  What is the mathematical background required t...  ...  How does a typical day of a data scientist loo...\n",
              "8  How many rounds of interview are required to c...  ...  How does a typical day of a data scientist loo...\n",
              "9  How much proficient a data scientist should be...  ...  How does a typical day of a data scientist loo...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rdLC2BMmJguw",
        "outputId": "67694f51-1075-4443-ef34-c631fc895c13",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "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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              "      <th>8</th>\n",
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              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0      How does job searching experience would look?  ...  How does a typical day of a data scientist loo...\n",
              "1      Please provide how DS jobs are in the market?  ...   What does the job hunting experience look like ?\n",
              "2              How has the Covid impacted DS hiring?  ...  How does a typical day of a data scientist loo...\n",
              "3  What skills do employers want from data scienc...  ...  How does a typical day of a data scientist loo...\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...  ...  How does a typical day of a data scientist loo...\n",
              "7  What is the mathematical background required t...  ...  How does a typical day of a data scientist loo...\n",
              "8  How many rounds of interview are required to c...  ...  How does a typical day of a data scientist loo...\n",
              "9  How much proficient a data scientist should be...  ...  How does a typical day of a data scientist loo...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Apib6xPxJguz"
      },
      "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": "V1a7UcCnJgu2",
        "outputId": "69a3ddf2-a7f5-4e92-e648-1bf7863b889a",
        "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([[[8, 1],\n",
              "        [1, 0]],\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",
              "       [[2, 7],\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",
              "        [1, 0]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t2_NGs73Jgu5"
      },
      "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": "alUDAwmzJgu7",
        "outputId": "b1481e9b-0ef5-421a-90db-99093b680391",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "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": "jUuVqTb8Jgu9",
        "outputId": "3187ae7a-8aa8-4980-c151-82c74dd542ca",
        "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       0.00      0.00      0.00         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       0.12      1.00      0.22         1\n",
            "           7       0.00      0.00      0.00         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                           0.20        10\n",
            "   macro avg       0.11      0.20      0.12        10\n",
            "weighted avg       0.11      0.20      0.12        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"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r2qvV6XWJrmI"
      },
      "source": [
        "#Dataset4-Hard"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t6uGHKsgJrmL"
      },
      "source": [
        "##Import Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aoZOvsVnJrmM",
        "outputId": "142d7667-4667-45e4-da37-5def1e39688f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        }
      },
      "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": "L_teShrSJrmV",
        "outputId": "5ec9f78e-a670-4b5d-ad94-82ade69924cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        }
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "#Load dataset and examine dataset, rename columns to questions and answers\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",
              "    .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>NaN</td>\n",
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              "      <td>What does the job hunting experience look like ?</td>\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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              "      <th>2</th>\n",
              "      <td>How has the Covid impacted job?</td>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>3</th>\n",
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              "      <td>What skills and qualities do employers look fo...</td>\n",
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              "      <th>5</th>\n",
              "      <td>What are the tasks performed by a data scienti...</td>\n",
              "      <td>6</td>\n",
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              "      <th>6</th>\n",
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              "      <td>7</td>\n",
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              "      <th>8</th>\n",
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              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
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              "      <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 coding experience is required for dat...</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",
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              "    </tr>\n",
              "  </tbody>\n",
              "</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": "U3q-_IN8Jrmh"
      },
      "source": [
        "##Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NshacbVnJrmj",
        "outputId": "2c5e2da3-be74-4468-e27c-271f55357f00",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import re\n",
        "import gensim \n",
        "from gensim.parsing.preprocessing import remove_stopwords\n",
        "\n",
        "#cleaning test data questions\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": "AuRuDOZZJrmr",
        "outputId": "d60ec413-5e88-404e-b671-32b912e655a2",
        "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": "Web6n9DKJrmv"
      },
      "source": [
        "##Glove Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OUWlUGcFJrmx",
        "outputId": "e7c83a72-053a-41a9-b7cf-1e021ff18ef5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from gensim.models import Word2Vec \n",
        "import gensim.downloader as api\n",
        "\n",
        "glove_model=None\n",
        "try:\n",
        "    glove_model = gensim.models.KeyedVectors.load(\"glovemodel.mod\")\n",
        "    print(\"Loaded glove model\")\n",
        "except:            \n",
        "    glove_model = api.load('glove-twitter-25')\n",
        "    glove_model.save(\"./glovemodel.mod\")\n",
        "    print(\"Saved glove model\")\n",
        "\n",
        "glove_embedding_size=len(glove_model['computer'])"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loaded glove model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FV6ZfTc2Jrm0",
        "outputId": "051065e1-eef3-404d-bbef-f9992b2ac1c5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "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": "Xe4VZ_qqJrm2"
      },
      "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",
        "\n",
        "        return vec.reshape(1, -1)"
      ],
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pEovIgZWJrm5"
      },
      "source": [
        "#With glove for original question dataset\n",
        "import numpy\n",
        "sent_embeddings=[]\n",
        "for sent in cleaned_sentences:\n",
        "    sent_embeddings.append(getPhraseEmbedding(sent,glove_model))"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NpnzpWPPJrm8"
      },
      "source": [
        "#With glove 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,glove_model))"
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jIEpQIrsJrm-",
        "outputId": "5be70af3-db1b-4a63-c6b9-0a5cf05f45d3",
        "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:  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:  please provide how data science jobs are in the market\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 has the covid impacted job\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:  tell me about the skills required for data science in the industry\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:  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:  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 maths knowledge is required to get a data science job\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 many rounds of interview is done for data science roles\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 coding experience is required for data science positions\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"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "auXEZvL6JrnC",
        "outputId": "333e109d-67b1-445e-ebc0-b9d26eeb8ec2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "source": [
        "df_test"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
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              "2                    How has the Covid impacted job?  ...  How does a typical day of a data scientist loo...\n",
              "3  Tell me about the skills required for Data sci...  ...  How does a typical day of a data scientist loo...\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 ...  ...  How does a typical day of a data scientist loo...\n",
              "7  How much maths knowledge is required to get a ...  ...  How does a typical day of a data scientist loo...\n",
              "8  How many rounds of interview is done for data ...  ...  How does a typical day of a data scientist loo...\n",
              "9  How much coding experience is required for dat...  ...  How does a typical day of a data scientist loo...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6g6H65QUJrnE",
        "outputId": "0d9256a8-c158-4ae0-862b-77fdf5a97570",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "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": [
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              "      <td>InCorrect</td>\n",
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              "      <td>How does a typical day of a data scientist loo...</td>\n",
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              "      <td>What level of proficiency is needed for a data...</td>\n",
              "      <td>How does a typical day of a data scientist loo...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           questions  ...                                  PredictedQuestion\n",
              "0                 How difficult is it to find a job?  ...  How does a typical day of a data scientist loo...\n",
              "1  Please provide how data science jobs are in th...  ...  How does a typical day of a data scientist loo...\n",
              "2                    How has the Covid impacted job?  ...  How does a typical day of a data scientist loo...\n",
              "3  Tell me about the skills required for Data sci...  ...  How does a typical day of a data scientist loo...\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 ...  ...  How does a typical day of a data scientist loo...\n",
              "7  How much maths knowledge is required to get a ...  ...  How does a typical day of a data scientist loo...\n",
              "8  How many rounds of interview is done for data ...  ...  How does a typical day of a data scientist loo...\n",
              "9  How much coding experience is required for dat...  ...  How does a typical day of a data scientist loo...\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2IgyctNWJrnG"
      },
      "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": "Qi_MbexQJrnH",
        "outputId": "1e3bec41-445d-4fcf-a219-d77225eeed88",
        "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([[[9, 0],\n",
              "        [1, 0]],\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",
              "       [[1, 8],\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",
              "        [1, 0]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fgKDLf9eJrnK"
      },
      "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": "MIByGJUoJrnN",
        "outputId": "66107159-bd8f-400b-d427-a775765bf536",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "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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Z4TIwM2CCvbUoqR94uo2bTgVWVB5nLGWaN9OskGveiTDr1hHRM9g3JlQZtEtSX0T0dnuOdmWaN9OskGveiT6rnyaYGeAyMLMiaxlc2u0BRijTvJlmhVzzTuhZU75mYGZjL+sjAzMbYy4DMwMSloGkd0l6VNJiSad2e56hSNpS0g8lPSzpIUkndnumdkiaJGmhpJu7PUsrkjaTNEfSI5IWSXprt2dqRdIny9+DByVdK2n9bs+0tlRlIGkScCFwEDALOFrSrO5ONaSXgFMiYhawN3D8BJ612YnAom4P0YbzgNsiYidgVybwzJKmAScAvRGxCzAJOKq7U60rVRkAbwYWR8QTEbEauA44vMszDSoilkfEgvL1Khp/WSfmUsFC0nTgEODybs/SiqRNgX2BKwAiYnVE/Lq7Uw1rMrCBpMnAhsCyLs+zjmxlMA14tunyEib4/2AAkmYAuwPzujvJsM4FPgP8rtuDDGMm0A98vTyluVzSRt0eaigRsRQ4B3gGWA6sjIjvd3eqdWUrg3QkbQzcCJwUEb/p9jxDkXQo8FxE3NPtWdowGdgDuCgidgdeACby60eb03gEOxPYAthI0ge7O9W6spXBUmDLpsvTy3UTkqTX0SiCayLipm7PM4x9gMMkPUXj6dd+kq7u7khDWgIsiYiBR1pzaJTDRHUA8GRE9EfEi8BNwNu6PNM6spXBfGB7STMlTaHxIsx3uzzToCSJxnPaRRHxtW7PM5yIOC0ipkfEDBrH9T8jYsL96wUQEb8AnpW0Y7lqf6DzH15YzzPA3pI2LH8v9mcCvuCZalV6RLwk6ePA7TRekb0yIh7q8lhD2Qf4C+ABSfeW6z4XEbd0caZXk08A15R/FJ4APtTleYYUEfMkzQEW0HiXaSET8KPJ/jiymQH5niaYWSUuAzMDXAZmVrgMzAxwGZhZ4TJ4jZL0joEzEyUd1uoM0HKG4MdGcR9fkvSpdq9f6zbfkHTECO5rhqQHRzqjvcxl8CpTzuwckYj4bkSc1eImmwEjLgPLxWWQRPmX7xFJ15Tz9+dI2rB87ylJX5W0ADhS0oGS7pS0QNIN5fyIgV0Qj5Tbvbcp+xhJF5Sv/0jStyXdV369DTgL2FbSvZLOLrf7tKT5ku6XdEZT1t9KekzSz4AdGYakj5ac+yTdOPBnKg6Q1FfyDi23nyTp7Kb7/utOj601uAxy2RH4l4h4I/AbXvmv9fMRsQfwA+DzwAHlch9wclmmcRnwbmBP4I+HuI9/Bn4cEbvS+Lz/QzROAvp5ROwWEZ+WdCCwPY1TyncD9pS0r6Q9aXyUeTfgYGCvNv5MN0XEXuX+FgEfbvrejHIfhwAXlz/Dh2mc9bdXyf+opJlt3I8NI9XHkY1nI2Ju+fpqGgszzimXry//3ZvG4pe5jY/BMwW4E9iJxskyjwOUk5BmD3If+wF/CRARa4CV5ay7ZgeWXwvL5Y1plMMmwLcj4rflPto5b2QXSV+h8VRkYxofNR/wrYj4HfC4pCfKn+FA4E1NrydsWu77sTbuy1pwGeSy9mfHmy+/UP4r4D8i4ujmG0rabQznEHBmRFyy1n2cNIqsbwDviYj7JB0DvKPpe4P9eQV8IiKaS2NgZ4R1wE8Tctmqadff+4GfDXKbu4B9JG0HIGkjSTsAjwAzJG1bbnf0IL8X4A7guPJ7J5WtQqto/Ks/4Hbg2KbXIqZJ+kPgJ8B7JG0gaRMaT0mGswmwvJzu/YG1vnekpPXKzNsAj5b7Pq7cHkk7TOTFJpm4DHJ5lMYuxUXA5sBFa98gIvqBY4BrJd1PeYoQEf9L42nBv5cXEJ8b4j5OBN4p6QHgHmBWRDxP42nHg5LOLlt6vgncWW43B9ikrHm7HrgPuJXGKefD+QKNDVBzaRRWs2eAu0vW35Q/w+U0TldeUN5KvAQ/wh0TPmsxifIw+OayUNNszPmRgZkBfmRgZoUfGZgZ4DIws8JlYGaAy8DMCpeBmQHw/xwLgxTMvkyKAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t44Fw3EMJrnQ",
        "outputId": "41c375aa-ee20-4fb6-9996-e6a554922eb7",
        "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       0.00      0.00      0.00         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       0.11      1.00      0.20         1\n",
            "           7       0.00      0.00      0.00         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                           0.20        10\n",
            "   macro avg       0.11      0.20      0.12        10\n",
            "weighted avg       0.11      0.20      0.12        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"
        }
      ]
    }
  ]
}