risk_prediction_covid_and_cnn.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "risk prediction covid and cnn.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "IdjFxC6l8ci4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "68c298f3-c6ac-4b66-bc3b-541ddf9ebfbd"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BfulKAbEtZ7g"
      },
      "source": [
        "#import pandas library\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.svm import SVC\n",
        "from keras.models import Sequential\n",
        "from sklearn.neural_network import MLPClassifier\n",
        "from keras.layers import Dense, Dropout, Activation, Flatten\n",
        "from sklearn.metrics import plot_confusion_matrix\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.linear_model import LogisticRegressionCV\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from keras.utils import np_utils\n",
        "import seaborn as sn\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "#creating an empty dataframe for our dataset\n",
        "df = pd.DataFrame()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "TLWj3bgntZ7w"
      },
      "source": [
        "# Read Heart_s.csv dataset from local disk and copy it to df Dataframe\n",
        "#df=pd.read_csv('./only_labels_simple.csv')\n",
        "df=pd.read_csv('gdrive/My Drive/Risk Prediction/Balanced_dataset.csv')\n",
        "#df2=pd.read_csv('./only_labels_simple -test.csv',encoding=\"ISO-8859–1\")\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TLDaNPiKtZ7y",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "27a7ef68-91d1-4c57-dd1e-8c6d38e7531a"
      },
      "source": [
        "df.groupby('outcome').size()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "outcome\n",
              "died         6010\n",
              "recovered    6010\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2VNUtf8ZtZ71"
      },
      "source": [
        "\n",
        "df=df.replace('died',0)\n",
        "df=df.replace('recovered',1)\n",
        "df=df.replace('stable',1)\n",
        "df=df.replace('severe',0)\n",
        "df['chronic_disease'].fillna(0,inplace = True)\n",
        "df1=df\n",
        "df2=df"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7O8SNruqtZ76"
      },
      "source": [
        "#creating a list of numerical feature names\n",
        "\n",
        "num_feat=['age', 'sex', 'anorexia', 'chronic_disease_binary','chronic_disease_Hypertension', \n",
        "       'chronic_disease_Diabetes','chronic_disease_kidney', 'chronic_disease_COPD',\n",
        "       'chronic_disease_heart', 'chronic_disease_asthma','chronic_disease_cardiac', \n",
        "       'chronic_disease_prostate','chronic_disease_cancer', 'chronic_disease_TB',\n",
        "       'chronic_disease_Hepatitis', 'chronic_disease_HIV','chronic_disease_cereberal', \n",
        "       'chronic_disease_Parkinson','chronic_disease_bronchitis', 'chronic_disease_hypothyroidism',\n",
        "       'chronic_disease_dyslipidemia', 'anorexia', 'chest pain',\n",
        "       'chills', 'conjunctivitis', 'cough', 'diarrhea', 'dizziness', 'dyspnea',\n",
        "       'emesis', 'expectoration', 'eye irritation', 'fatigue', 'fever', 'gasp',\n",
        "       'headache', 'kidney failure', 'lesions on chest radiographs',\n",
        "       'hypertension', 'Myalgia', 'obnubilation', 'pneumonia', 'myelofibrosis',\n",
        "       'respiratory distress', 'rhinorrhea', 'shortness of breath',\n",
        "       'somnolence', 'sore throat', 'sputum', 'septic shock', 'Heart attack',\n",
        "       'cold', 'cardiac disease', 'hypoxia']\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0gVOxaOitZ79",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "154b4fec-b545-4cd7-d693-440aa8f4384f"
      },
      "source": [
        "df.corr()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>sex</th>\n",
              "      <th>chronic_disease_binary</th>\n",
              "      <th>chronic_disease_Hypertension</th>\n",
              "      <th>chronic_disease_Diabetes</th>\n",
              "      <th>chronic_disease_kidney</th>\n",
              "      <th>chronic_disease_COPD</th>\n",
              "      <th>chronic_disease_heart</th>\n",
              "      <th>chronic_disease_asthma</th>\n",
              "      <th>chronic_disease_cardiac</th>\n",
              "      <th>chronic_disease_prostate</th>\n",
              "      <th>chronic_disease_cancer</th>\n",
              "      <th>chronic_disease_TB</th>\n",
              "      <th>chronic_disease_Hepatitis</th>\n",
              "      <th>chronic_disease_HIV</th>\n",
              "      <th>chronic_disease_cereberal</th>\n",
              "      <th>chronic_disease_Parkinson</th>\n",
              "      <th>chronic_disease_bronchitis</th>\n",
              "      <th>chronic_disease_hypothyroidism</th>\n",
              "      <th>chronic_disease_dyslipidemia</th>\n",
              "      <th>anorexia</th>\n",
              "      <th>chest pain</th>\n",
              "      <th>chills</th>\n",
              "      <th>conjunctivitis</th>\n",
              "      <th>cough</th>\n",
              "      <th>diarrhea</th>\n",
              "      <th>dizziness</th>\n",
              "      <th>dyspnea</th>\n",
              "      <th>emesis</th>\n",
              "      <th>expectoration</th>\n",
              "      <th>eye irritation</th>\n",
              "      <th>fatigue</th>\n",
              "      <th>fever</th>\n",
              "      <th>gasp</th>\n",
              "      <th>headache</th>\n",
              "      <th>kidney failure</th>\n",
              "      <th>lesions on chest radiographs</th>\n",
              "      <th>hypertension</th>\n",
              "      <th>Myalgia</th>\n",
              "      <th>obnubilation</th>\n",
              "      <th>pneumonia</th>\n",
              "      <th>myelofibrosis</th>\n",
              "      <th>respiratory distress</th>\n",
              "      <th>rhinorrhea</th>\n",
              "      <th>shortness of breath</th>\n",
              "      <th>somnolence</th>\n",
              "      <th>sore throat</th>\n",
              "      <th>sputum</th>\n",
              "      <th>septic shock</th>\n",
              "      <th>Heart attack</th>\n",
              "      <th>cold</th>\n",
              "      <th>cardiac disease</th>\n",
              "      <th>hypoxia</th>\n",
              "      <th>outcome</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.049554</td>\n",
              "      <td>0.193957</td>\n",
              "      <td>0.167183</td>\n",
              "      <td>0.116855</td>\n",
              "      <td>0.080140</td>\n",
              "      <td>0.071872</td>\n",
              "      <td>0.061443</td>\n",
              "      <td>0.018021</td>\n",
              "      <td>0.046747</td>\n",
              "      <td>0.053759</td>\n",
              "      <td>3.253826e-02</td>\n",
              "      <td>0.026688</td>\n",
              "      <td>0.021084</td>\n",
              "      <td>0.011192</td>\n",
              "      <td>0.039393</td>\n",
              "      <td>0.037745</td>\n",
              "      <td>0.037727</td>\n",
              "      <td>0.031776</td>\n",
              "      <td>1.431624e-02</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.003412</td>\n",
              "      <td>-0.003159</td>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-0.002414</td>\n",
              "      <td>-0.002233</td>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-0.003159</td>\n",
              "      <td>0.036260</td>\n",
              "      <td>0.024729</td>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-1.653140e-03</td>\n",
              "      <td>-0.003207</td>\n",
              "      <td>-0.003159</td>\n",
              "      <td>-0.003869</td>\n",
              "      <td>-0.003647</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.003647</td>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-0.009139</td>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-0.009052</td>\n",
              "      <td>-0.007572</td>\n",
              "      <td>-0.002883</td>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-0.004235</td>\n",
              "      <td>-0.002233</td>\n",
              "      <td>-0.005624</td>\n",
              "      <td>-0.002812</td>\n",
              "      <td>-0.002233</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>1.264008e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sex</th>\n",
              "      <td>0.049554</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.031708</td>\n",
              "      <td>0.018917</td>\n",
              "      <td>0.024827</td>\n",
              "      <td>0.012495</td>\n",
              "      <td>0.001556</td>\n",
              "      <td>0.014353</td>\n",
              "      <td>0.000452</td>\n",
              "      <td>0.012216</td>\n",
              "      <td>0.018004</td>\n",
              "      <td>1.138515e-02</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>0.011385</td>\n",
              "      <td>-0.014617</td>\n",
              "      <td>-0.002285</td>\n",
              "      <td>-0.014617</td>\n",
              "      <td>0.013944</td>\n",
              "      <td>-0.007287</td>\n",
              "      <td>1.138515e-02</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>0.000452</td>\n",
              "      <td>0.012216</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000231</td>\n",
              "      <td>0.003329</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>0.004708</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>6.405785e-03</td>\n",
              "      <td>-0.010104</td>\n",
              "      <td>0.019723</td>\n",
              "      <td>-0.006494</td>\n",
              "      <td>0.003269</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.009735</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.010628</td>\n",
              "      <td>-0.010335</td>\n",
              "      <td>-0.011361</td>\n",
              "      <td>-0.003615</td>\n",
              "      <td>0.001556</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.016303</td>\n",
              "      <td>-0.007287</td>\n",
              "      <td>-0.007095</td>\n",
              "      <td>-0.001571</td>\n",
              "      <td>0.003329</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>1.141967e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_binary</th>\n",
              "      <td>0.193957</td>\n",
              "      <td>0.031708</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.800582</td>\n",
              "      <td>0.595078</td>\n",
              "      <td>0.371812</td>\n",
              "      <td>0.195856</td>\n",
              "      <td>0.231760</td>\n",
              "      <td>0.231760</td>\n",
              "      <td>0.214559</td>\n",
              "      <td>0.195856</td>\n",
              "      <td>1.238549e-01</td>\n",
              "      <td>0.087575</td>\n",
              "      <td>0.123855</td>\n",
              "      <td>0.061256</td>\n",
              "      <td>0.175172</td>\n",
              "      <td>0.123855</td>\n",
              "      <td>0.151697</td>\n",
              "      <td>0.151697</td>\n",
              "      <td>1.238549e-01</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.002514</td>\n",
              "      <td>-0.002328</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>0.003187</td>\n",
              "      <td>-0.001646</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.002328</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-4.460079e-03</td>\n",
              "      <td>0.000018</td>\n",
              "      <td>-0.002328</td>\n",
              "      <td>-0.002851</td>\n",
              "      <td>-0.002688</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.002688</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.007914</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.007500</td>\n",
              "      <td>-0.003005</td>\n",
              "      <td>-0.002125</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.003682</td>\n",
              "      <td>-0.001646</td>\n",
              "      <td>-0.004144</td>\n",
              "      <td>-0.003427</td>\n",
              "      <td>-0.001646</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>8.962289e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_Hypertension</th>\n",
              "      <td>0.167183</td>\n",
              "      <td>0.018917</td>\n",
              "      <td>0.800582</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.515510</td>\n",
              "      <td>0.360504</td>\n",
              "      <td>-0.001701</td>\n",
              "      <td>0.206203</td>\n",
              "      <td>0.122916</td>\n",
              "      <td>0.178048</td>\n",
              "      <td>0.047568</td>\n",
              "      <td>7.681520e-02</td>\n",
              "      <td>0.109389</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>0.163724</td>\n",
              "      <td>0.076815</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>0.125883</td>\n",
              "      <td>1.547061e-01</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.002013</td>\n",
              "      <td>-0.001863</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>0.007399</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.001863</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-3.570659e-03</td>\n",
              "      <td>0.004103</td>\n",
              "      <td>-0.001863</td>\n",
              "      <td>-0.002283</td>\n",
              "      <td>-0.002152</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.002152</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.006336</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.006004</td>\n",
              "      <td>-0.002406</td>\n",
              "      <td>-0.001701</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.002948</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.003318</td>\n",
              "      <td>-0.002744</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>7.735779e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_Diabetes</th>\n",
              "      <td>0.116855</td>\n",
              "      <td>0.024827</td>\n",
              "      <td>0.595078</td>\n",
              "      <td>0.515510</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.171826</td>\n",
              "      <td>0.064814</td>\n",
              "      <td>0.221908</td>\n",
              "      <td>0.110206</td>\n",
              "      <td>0.179585</td>\n",
              "      <td>0.064814</td>\n",
              "      <td>1.036664e-01</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>0.208132</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>0.072744</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>2.081324e-01</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.001496</td>\n",
              "      <td>-0.001385</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.004605</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.001385</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-2.654093e-03</td>\n",
              "      <td>-0.005473</td>\n",
              "      <td>-0.001385</td>\n",
              "      <td>-0.001697</td>\n",
              "      <td>-0.001600</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.001600</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.004710</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.004463</td>\n",
              "      <td>-0.001788</td>\n",
              "      <td>-0.001264</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.002191</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.002466</td>\n",
              "      <td>-0.002039</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>5.928627e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_kidney</th>\n",
              "      <td>0.080140</td>\n",
              "      <td>0.012495</td>\n",
              "      <td>0.371812</td>\n",
              "      <td>0.360504</td>\n",
              "      <td>0.171826</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>0.088245</td>\n",
              "      <td>-0.000935</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-4.995838e-04</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000707</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>0.135590</td>\n",
              "      <td>-4.995838e-04</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000935</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.002878</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-1.658312e-03</td>\n",
              "      <td>-0.003420</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.001060</td>\n",
              "      <td>-0.000999</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000999</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.002943</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.002789</td>\n",
              "      <td>-0.001117</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.001369</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.001541</td>\n",
              "      <td>-0.001274</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>3.442365e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_COPD</th>\n",
              "      <td>0.071872</td>\n",
              "      <td>0.001556</td>\n",
              "      <td>0.195856</td>\n",
              "      <td>-0.001701</td>\n",
              "      <td>0.064814</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000416</td>\n",
              "      <td>-2.631613e-04</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.631613e-04</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001516</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-8.735344e-04</td>\n",
              "      <td>-0.001801</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000558</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001550</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001469</td>\n",
              "      <td>-0.000589</td>\n",
              "      <td>-0.000416</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000721</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000812</td>\n",
              "      <td>-0.000671</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>2.039967e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_heart</th>\n",
              "      <td>0.061443</td>\n",
              "      <td>0.014353</td>\n",
              "      <td>0.231760</td>\n",
              "      <td>0.206203</td>\n",
              "      <td>0.221908</td>\n",
              "      <td>0.088245</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000583</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-3.114026e-04</td>\n",
              "      <td>0.377870</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000440</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-3.114026e-04</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000583</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001794</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-1.033666e-03</td>\n",
              "      <td>-0.002132</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000661</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001834</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001738</td>\n",
              "      <td>-0.000697</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000853</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000960</td>\n",
              "      <td>-0.000794</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>2.413922e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_asthma</th>\n",
              "      <td>0.018021</td>\n",
              "      <td>0.000452</td>\n",
              "      <td>0.231760</td>\n",
              "      <td>0.122916</td>\n",
              "      <td>0.110206</td>\n",
              "      <td>-0.000935</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000583</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-3.114026e-04</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000440</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-3.114026e-04</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000583</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>0.044872</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-1.033666e-03</td>\n",
              "      <td>0.037225</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000661</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001834</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001738</td>\n",
              "      <td>-0.000697</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000853</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000960</td>\n",
              "      <td>-0.000794</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>1.724230e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_cardiac</th>\n",
              "      <td>0.046747</td>\n",
              "      <td>0.012216</td>\n",
              "      <td>0.214559</td>\n",
              "      <td>0.178048</td>\n",
              "      <td>0.179585</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.182202</td>\n",
              "      <td>2.884829e-01</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001661</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-9.569488e-04</td>\n",
              "      <td>-0.001973</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001609</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>2.234765e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_prostate</th>\n",
              "      <td>0.053759</td>\n",
              "      <td>0.018004</td>\n",
              "      <td>0.195856</td>\n",
              "      <td>0.047568</td>\n",
              "      <td>0.064814</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000416</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>0.182202</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.323766e-01</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.631613e-04</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001516</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-8.735344e-04</td>\n",
              "      <td>-0.001801</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000558</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001550</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001469</td>\n",
              "      <td>-0.000589</td>\n",
              "      <td>-0.000416</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000721</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000812</td>\n",
              "      <td>-0.000671</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>1.223980e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_cancer</th>\n",
              "      <td>0.032538</td>\n",
              "      <td>0.011385</td>\n",
              "      <td>0.123855</td>\n",
              "      <td>0.076815</td>\n",
              "      <td>0.103666</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>0.288483</td>\n",
              "      <td>0.632377</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.074303e-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_TB</th>\n",
              "      <td>0.026688</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>0.087575</td>\n",
              "      <td>0.109389</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>0.377870</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_Hepatitis</th>\n",
              "      <td>0.021084</td>\n",
              "      <td>0.011385</td>\n",
              "      <td>0.123855</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>0.208132</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_HIV</th>\n",
              "      <td>0.011192</td>\n",
              "      <td>-0.014617</td>\n",
              "      <td>0.061256</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_cereberal</th>\n",
              "      <td>0.039393</td>\n",
              "      <td>-0.002285</td>\n",
              "      <td>0.175172</td>\n",
              "      <td>0.163724</td>\n",
              "      <td>0.072744</td>\n",
              "      <td>-0.000707</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000440</td>\n",
              "      <td>-0.000440</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-2.353688e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-2.353688e-04</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000440</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.001356</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-7.812804e-04</td>\n",
              "      <td>-0.001611</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000471</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000471</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.001386</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.001314</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000726</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>9.122630e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_Parkinson</th>\n",
              "      <td>0.037745</td>\n",
              "      <td>-0.014617</td>\n",
              "      <td>0.123855</td>\n",
              "      <td>0.076815</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_bronchitis</th>\n",
              "      <td>0.037727</td>\n",
              "      <td>0.013944</td>\n",
              "      <td>0.151697</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001174</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-6.765805e-04</td>\n",
              "      <td>-0.001395</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>1.580020e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_hypothyroidism</th>\n",
              "      <td>0.031776</td>\n",
              "      <td>-0.007287</td>\n",
              "      <td>0.151697</td>\n",
              "      <td>0.125883</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>0.135590</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001174</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-6.765805e-04</td>\n",
              "      <td>-0.001395</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>5.266733e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chronic_disease_dyslipidemia</th>\n",
              "      <td>0.014316</td>\n",
              "      <td>0.011385</td>\n",
              "      <td>0.123855</td>\n",
              "      <td>0.154706</td>\n",
              "      <td>0.208132</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.374174e-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>anorexia</th>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>3.012604e-01</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chest pain</th>\n",
              "      <td>-0.003412</td>\n",
              "      <td>0.000452</td>\n",
              "      <td>-0.002514</td>\n",
              "      <td>-0.002013</td>\n",
              "      <td>-0.001496</td>\n",
              "      <td>-0.000935</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000583</td>\n",
              "      <td>-0.000583</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-3.114026e-04</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000440</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-3.114026e-04</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>0.184871</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>0.308234</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>1.603256e-01</td>\n",
              "      <td>0.234011</td>\n",
              "      <td>0.153847</td>\n",
              "      <td>-0.000661</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001834</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.001738</td>\n",
              "      <td>-0.000697</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000853</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000960</td>\n",
              "      <td>-0.000794</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-1.724230e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chills</th>\n",
              "      <td>-0.003159</td>\n",
              "      <td>0.012216</td>\n",
              "      <td>-0.002328</td>\n",
              "      <td>-0.001863</td>\n",
              "      <td>-0.001385</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.408163</td>\n",
              "      <td>0.199951</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>8.618339e-02</td>\n",
              "      <td>0.210570</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>0.288267</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001609</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.104711</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>0.235437</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>1.489843e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>conjunctivitis</th>\n",
              "      <td>-0.001289</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>0.408163</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.122758</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cough</th>\n",
              "      <td>-0.002414</td>\n",
              "      <td>-0.000231</td>\n",
              "      <td>0.003187</td>\n",
              "      <td>0.007399</td>\n",
              "      <td>-0.004605</td>\n",
              "      <td>-0.002878</td>\n",
              "      <td>-0.001516</td>\n",
              "      <td>-0.001794</td>\n",
              "      <td>0.044872</td>\n",
              "      <td>-0.001661</td>\n",
              "      <td>-0.001516</td>\n",
              "      <td>-9.585488e-04</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.001356</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.001174</td>\n",
              "      <td>-0.001174</td>\n",
              "      <td>-9.585488e-04</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>0.184871</td>\n",
              "      <td>0.199951</td>\n",
              "      <td>0.122758</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.001174</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>0.099145</td>\n",
              "      <td>0.122758</td>\n",
              "      <td>0.173614</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>1.811958e-01</td>\n",
              "      <td>0.661586</td>\n",
              "      <td>0.199951</td>\n",
              "      <td>0.162602</td>\n",
              "      <td>-0.001918</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>0.260006</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.005646</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>0.010366</td>\n",
              "      <td>0.232147</td>\n",
              "      <td>0.219330</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>0.252490</td>\n",
              "      <td>0.212641</td>\n",
              "      <td>-0.002957</td>\n",
              "      <td>-0.002445</td>\n",
              "      <td>0.141369</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>9.006611e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diarrhea</th>\n",
              "      <td>-0.002233</td>\n",
              "      <td>0.003329</td>\n",
              "      <td>-0.001646</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001174</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-6.765805e-04</td>\n",
              "      <td>0.058714</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>5.266733e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dizziness</th>\n",
              "      <td>-0.001289</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dyspnea</th>\n",
              "      <td>-0.003159</td>\n",
              "      <td>0.004708</td>\n",
              "      <td>-0.002328</td>\n",
              "      <td>-0.001863</td>\n",
              "      <td>-0.001385</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>0.308234</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.099145</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>8.618339e-02</td>\n",
              "      <td>0.125553</td>\n",
              "      <td>0.166250</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.050386</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-2.234765e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>emesis</th>\n",
              "      <td>0.036260</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>0.122758</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.707077</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>expectoration</th>\n",
              "      <td>0.024729</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>0.173614</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>0.707077</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>0.146091</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>eye irritation</th>\n",
              "      <td>-0.001289</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fatigue</th>\n",
              "      <td>-0.001653</td>\n",
              "      <td>0.006406</td>\n",
              "      <td>-0.004460</td>\n",
              "      <td>-0.003571</td>\n",
              "      <td>-0.002654</td>\n",
              "      <td>-0.001658</td>\n",
              "      <td>-0.000874</td>\n",
              "      <td>-0.001034</td>\n",
              "      <td>-0.001034</td>\n",
              "      <td>-0.000957</td>\n",
              "      <td>-0.000874</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-0.000781</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-0.000677</td>\n",
              "      <td>-0.000677</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>0.301260</td>\n",
              "      <td>0.160326</td>\n",
              "      <td>0.086183</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>0.181196</td>\n",
              "      <td>-0.000677</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>0.086183</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.329432</td>\n",
              "      <td>-0.000957</td>\n",
              "      <td>0.283463</td>\n",
              "      <td>-0.001105</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>0.074367</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>-0.003254</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>-0.003083</td>\n",
              "      <td>0.133784</td>\n",
              "      <td>0.094580</td>\n",
              "      <td>-0.000391</td>\n",
              "      <td>-0.001514</td>\n",
              "      <td>0.122543</td>\n",
              "      <td>-0.001704</td>\n",
              "      <td>-0.001409</td>\n",
              "      <td>-0.000677</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-0.000552</td>\n",
              "      <td>-8.470919e-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fever</th>\n",
              "      <td>-0.003207</td>\n",
              "      <td>-0.010104</td>\n",
              "      <td>0.000018</td>\n",
              "      <td>0.004103</td>\n",
              "      <td>-0.005473</td>\n",
              "      <td>-0.003420</td>\n",
              "      <td>-0.001801</td>\n",
              "      <td>-0.002132</td>\n",
              "      <td>0.037225</td>\n",
              "      <td>-0.001973</td>\n",
              "      <td>-0.001801</td>\n",
              "      <td>-1.139134e-03</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.001611</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.001395</td>\n",
              "      <td>-0.001395</td>\n",
              "      <td>-1.139134e-03</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>0.234011</td>\n",
              "      <td>0.210570</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>0.661586</td>\n",
              "      <td>0.058714</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>0.125553</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>0.146091</td>\n",
              "      <td>0.103298</td>\n",
              "      <td>3.294325e-01</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.168061</td>\n",
              "      <td>0.275283</td>\n",
              "      <td>-0.002279</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>0.255438</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>0.018427</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>0.020151</td>\n",
              "      <td>0.260913</td>\n",
              "      <td>0.091327</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>0.292723</td>\n",
              "      <td>0.178931</td>\n",
              "      <td>-0.003514</td>\n",
              "      <td>-0.002906</td>\n",
              "      <td>-0.001395</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>1.804041e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gasp</th>\n",
              "      <td>-0.003159</td>\n",
              "      <td>0.019723</td>\n",
              "      <td>-0.002328</td>\n",
              "      <td>-0.001863</td>\n",
              "      <td>-0.001385</td>\n",
              "      <td>-0.000865</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000539</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-2.882908e-04</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>0.153847</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.199951</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.166250</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-9.569488e-04</td>\n",
              "      <td>0.168061</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.001609</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-2.234765e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>headache</th>\n",
              "      <td>-0.003869</td>\n",
              "      <td>-0.006494</td>\n",
              "      <td>-0.002851</td>\n",
              "      <td>-0.002283</td>\n",
              "      <td>-0.001697</td>\n",
              "      <td>-0.001060</td>\n",
              "      <td>-0.000558</td>\n",
              "      <td>-0.000661</td>\n",
              "      <td>-0.000661</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000558</td>\n",
              "      <td>-3.531267e-04</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000499</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-3.531267e-04</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000661</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>0.162602</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>2.834625e-01</td>\n",
              "      <td>0.275283</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000706</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>0.235163</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.002080</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.001971</td>\n",
              "      <td>0.210195</td>\n",
              "      <td>-0.000558</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>0.257489</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.001089</td>\n",
              "      <td>-0.000901</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>2.129057e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>kidney failure</th>\n",
              "      <td>-0.003647</td>\n",
              "      <td>0.003269</td>\n",
              "      <td>-0.002688</td>\n",
              "      <td>-0.002152</td>\n",
              "      <td>-0.001600</td>\n",
              "      <td>-0.000999</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-3.329172e-04</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000471</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-3.329172e-04</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.001918</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-1.105081e-03</td>\n",
              "      <td>-0.002279</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000706</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>0.499875</td>\n",
              "      <td>-0.000666</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>0.083439</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>0.268337</td>\n",
              "      <td>-0.000745</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000912</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>0.404983</td>\n",
              "      <td>-0.000849</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-2.580699e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lesions on chest radiographs</th>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hypertension</th>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>0.499875</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Myalgia</th>\n",
              "      <td>-0.003647</td>\n",
              "      <td>-0.009735</td>\n",
              "      <td>-0.002688</td>\n",
              "      <td>-0.002152</td>\n",
              "      <td>-0.001600</td>\n",
              "      <td>-0.000999</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-3.329172e-04</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000471</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-3.329172e-04</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000623</td>\n",
              "      <td>0.288267</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>0.260006</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>7.436695e-02</td>\n",
              "      <td>0.255438</td>\n",
              "      <td>-0.000577</td>\n",
              "      <td>0.235163</td>\n",
              "      <td>-0.000666</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.001961</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.001858</td>\n",
              "      <td>-0.000745</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>0.273211</td>\n",
              "      <td>0.203810</td>\n",
              "      <td>-0.001027</td>\n",
              "      <td>-0.000849</td>\n",
              "      <td>0.203810</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>6.451747e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>obnubilation</th>\n",
              "      <td>-0.001289</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pneumonia</th>\n",
              "      <td>-0.009139</td>\n",
              "      <td>-0.010628</td>\n",
              "      <td>-0.007914</td>\n",
              "      <td>-0.006336</td>\n",
              "      <td>-0.004710</td>\n",
              "      <td>-0.002943</td>\n",
              "      <td>-0.001550</td>\n",
              "      <td>-0.001834</td>\n",
              "      <td>-0.001834</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.001550</td>\n",
              "      <td>-9.802149e-04</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.001386</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-9.802149e-04</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.001834</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.005646</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-3.253714e-03</td>\n",
              "      <td>0.018427</td>\n",
              "      <td>-0.001698</td>\n",
              "      <td>-0.002080</td>\n",
              "      <td>0.083439</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.000980</td>\n",
              "      <td>-0.001961</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>0.655559</td>\n",
              "      <td>-0.002193</td>\n",
              "      <td>-0.001550</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>0.059699</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>0.412776</td>\n",
              "      <td>0.332534</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>0.169776</td>\n",
              "      <td>0.169776</td>\n",
              "      <td>-7.157917e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>myelofibrosis</th>\n",
              "      <td>-0.001289</td>\n",
              "      <td>-0.010335</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>respiratory distress</th>\n",
              "      <td>-0.009052</td>\n",
              "      <td>-0.011361</td>\n",
              "      <td>-0.007500</td>\n",
              "      <td>-0.006004</td>\n",
              "      <td>-0.004463</td>\n",
              "      <td>-0.002789</td>\n",
              "      <td>-0.001469</td>\n",
              "      <td>-0.001738</td>\n",
              "      <td>-0.001738</td>\n",
              "      <td>-0.001609</td>\n",
              "      <td>-0.001469</td>\n",
              "      <td>-9.288925e-04</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.001314</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-9.288925e-04</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.001738</td>\n",
              "      <td>-0.001609</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>0.010366</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>0.050386</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-3.083355e-03</td>\n",
              "      <td>0.020151</td>\n",
              "      <td>-0.001609</td>\n",
              "      <td>-0.001971</td>\n",
              "      <td>0.268337</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.001858</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>0.655559</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.002078</td>\n",
              "      <td>-0.001469</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.002545</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>0.289479</td>\n",
              "      <td>0.244967</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>0.179156</td>\n",
              "      <td>-6.503736e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>rhinorrhea</th>\n",
              "      <td>-0.007572</td>\n",
              "      <td>-0.003615</td>\n",
              "      <td>-0.003005</td>\n",
              "      <td>-0.002406</td>\n",
              "      <td>-0.001788</td>\n",
              "      <td>-0.001117</td>\n",
              "      <td>-0.000589</td>\n",
              "      <td>-0.000697</td>\n",
              "      <td>-0.000697</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000589</td>\n",
              "      <td>-3.722437e-04</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-3.722437e-04</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000697</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>0.232147</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>1.337841e-01</td>\n",
              "      <td>0.260913</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>0.210195</td>\n",
              "      <td>-0.000745</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000745</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.002193</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.002078</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000589</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.001020</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.001148</td>\n",
              "      <td>-0.000949</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>2.885549e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>shortness of breath</th>\n",
              "      <td>-0.002883</td>\n",
              "      <td>0.001556</td>\n",
              "      <td>-0.002125</td>\n",
              "      <td>-0.001701</td>\n",
              "      <td>-0.001264</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000416</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000416</td>\n",
              "      <td>-2.631613e-04</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.631613e-04</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000492</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>0.219330</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>9.457995e-02</td>\n",
              "      <td>0.091327</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000558</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000526</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001550</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.001469</td>\n",
              "      <td>-0.000589</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000721</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000812</td>\n",
              "      <td>-0.000671</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-4.079934e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>somnolence</th>\n",
              "      <td>-0.001289</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.000950</td>\n",
              "      <td>-0.000761</td>\n",
              "      <td>-0.000565</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-1.176697e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000220</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000678</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-3.905915e-04</td>\n",
              "      <td>-0.000805</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000693</td>\n",
              "      <td>-0.000083</td>\n",
              "      <td>-0.000657</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000186</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-9.121491e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sore throat</th>\n",
              "      <td>-0.004235</td>\n",
              "      <td>-0.016303</td>\n",
              "      <td>-0.003682</td>\n",
              "      <td>-0.002948</td>\n",
              "      <td>-0.002191</td>\n",
              "      <td>-0.001369</td>\n",
              "      <td>-0.000721</td>\n",
              "      <td>-0.000853</td>\n",
              "      <td>-0.000853</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000721</td>\n",
              "      <td>-4.559985e-04</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000645</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-4.559985e-04</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000853</td>\n",
              "      <td>0.104711</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>0.252490</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-1.513636e-03</td>\n",
              "      <td>0.292723</td>\n",
              "      <td>-0.000790</td>\n",
              "      <td>0.257489</td>\n",
              "      <td>-0.000912</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>0.273211</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>0.059699</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.002545</td>\n",
              "      <td>-0.001020</td>\n",
              "      <td>-0.000721</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>-0.001406</td>\n",
              "      <td>-0.001163</td>\n",
              "      <td>0.148624</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>2.592185e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sputum</th>\n",
              "      <td>-0.002233</td>\n",
              "      <td>-0.007287</td>\n",
              "      <td>-0.001646</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>0.212641</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>1.225431e-01</td>\n",
              "      <td>0.178931</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.203810</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000559</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>5.266733e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>septic shock</th>\n",
              "      <td>-0.005624</td>\n",
              "      <td>-0.007095</td>\n",
              "      <td>-0.004144</td>\n",
              "      <td>-0.003318</td>\n",
              "      <td>-0.002466</td>\n",
              "      <td>-0.001541</td>\n",
              "      <td>-0.000812</td>\n",
              "      <td>-0.000960</td>\n",
              "      <td>-0.000960</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000812</td>\n",
              "      <td>-5.132949e-04</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000726</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-5.132949e-04</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000960</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.002957</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-1.703825e-03</td>\n",
              "      <td>-0.003514</td>\n",
              "      <td>-0.000889</td>\n",
              "      <td>-0.001089</td>\n",
              "      <td>0.404983</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-0.001027</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>0.412776</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>0.289479</td>\n",
              "      <td>-0.001148</td>\n",
              "      <td>-0.000812</td>\n",
              "      <td>-0.000363</td>\n",
              "      <td>-0.001406</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.001309</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>0.161850</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>-3.978946e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Heart attack</th>\n",
              "      <td>-0.002812</td>\n",
              "      <td>-0.001571</td>\n",
              "      <td>-0.003427</td>\n",
              "      <td>-0.002744</td>\n",
              "      <td>-0.002039</td>\n",
              "      <td>-0.001274</td>\n",
              "      <td>-0.000671</td>\n",
              "      <td>-0.000794</td>\n",
              "      <td>-0.000794</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000671</td>\n",
              "      <td>-4.244762e-04</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-4.244762e-04</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000794</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.002445</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-1.409001e-03</td>\n",
              "      <td>-0.002906</td>\n",
              "      <td>-0.000735</td>\n",
              "      <td>-0.000901</td>\n",
              "      <td>-0.000849</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000849</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>0.332534</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>0.244967</td>\n",
              "      <td>-0.000949</td>\n",
              "      <td>-0.000671</td>\n",
              "      <td>-0.000300</td>\n",
              "      <td>-0.001163</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.001309</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>0.195814</td>\n",
              "      <td>-3.290443e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cold</th>\n",
              "      <td>-0.002233</td>\n",
              "      <td>0.003329</td>\n",
              "      <td>-0.001646</td>\n",
              "      <td>-0.001318</td>\n",
              "      <td>-0.000979</td>\n",
              "      <td>-0.000612</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-2.038269e-04</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000381</td>\n",
              "      <td>0.235437</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>0.141369</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-6.765805e-04</td>\n",
              "      <td>-0.001395</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000433</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.203810</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001201</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>-0.001138</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000322</td>\n",
              "      <td>-0.000144</td>\n",
              "      <td>0.148624</td>\n",
              "      <td>-0.000250</td>\n",
              "      <td>-0.000629</td>\n",
              "      <td>-0.000520</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>5.266733e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cardiac disease</th>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>0.169776</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000929</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>0.161850</td>\n",
              "      <td>-0.000424</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hypoxia</th>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.001616</td>\n",
              "      <td>-0.001344</td>\n",
              "      <td>-0.001076</td>\n",
              "      <td>-0.000800</td>\n",
              "      <td>-0.000500</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000235</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-1.664170e-04</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000311</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000959</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-5.524027e-04</td>\n",
              "      <td>-0.001139</td>\n",
              "      <td>-0.000288</td>\n",
              "      <td>-0.000353</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>0.169776</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>0.179156</td>\n",
              "      <td>-0.000372</td>\n",
              "      <td>-0.000263</td>\n",
              "      <td>-0.000118</td>\n",
              "      <td>-0.000456</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000513</td>\n",
              "      <td>0.195814</td>\n",
              "      <td>-0.000204</td>\n",
              "      <td>-0.000166</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-1.290027e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>outcome</th>\n",
              "      <td>0.126401</td>\n",
              "      <td>0.114197</td>\n",
              "      <td>0.089623</td>\n",
              "      <td>0.077358</td>\n",
              "      <td>0.059286</td>\n",
              "      <td>0.034424</td>\n",
              "      <td>0.020400</td>\n",
              "      <td>0.024139</td>\n",
              "      <td>0.017242</td>\n",
              "      <td>0.022348</td>\n",
              "      <td>0.012240</td>\n",
              "      <td>1.074303e-17</td>\n",
              "      <td>0.009121</td>\n",
              "      <td>0.012900</td>\n",
              "      <td>0.012900</td>\n",
              "      <td>0.009123</td>\n",
              "      <td>0.012900</td>\n",
              "      <td>0.015800</td>\n",
              "      <td>0.005267</td>\n",
              "      <td>1.374174e-17</td>\n",
              "      <td>-0.012900</td>\n",
              "      <td>-0.017242</td>\n",
              "      <td>0.014898</td>\n",
              "      <td>0.009121</td>\n",
              "      <td>0.009007</td>\n",
              "      <td>0.005267</td>\n",
              "      <td>-0.009121</td>\n",
              "      <td>-0.022348</td>\n",
              "      <td>-0.009121</td>\n",
              "      <td>-0.012900</td>\n",
              "      <td>0.009121</td>\n",
              "      <td>-8.470919e-17</td>\n",
              "      <td>0.018040</td>\n",
              "      <td>-0.022348</td>\n",
              "      <td>0.021291</td>\n",
              "      <td>-0.025807</td>\n",
              "      <td>0.012900</td>\n",
              "      <td>-0.012900</td>\n",
              "      <td>0.006452</td>\n",
              "      <td>-0.009121</td>\n",
              "      <td>-0.071579</td>\n",
              "      <td>-0.009121</td>\n",
              "      <td>-0.065037</td>\n",
              "      <td>0.028855</td>\n",
              "      <td>-0.004080</td>\n",
              "      <td>-0.009121</td>\n",
              "      <td>0.025922</td>\n",
              "      <td>0.005267</td>\n",
              "      <td>-0.039789</td>\n",
              "      <td>-0.032904</td>\n",
              "      <td>0.005267</td>\n",
              "      <td>-0.012900</td>\n",
              "      <td>-0.012900</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                     age       sex  ...   hypoxia       outcome\n",
              "age                             1.000000  0.049554  ... -0.001823  1.264008e-01\n",
              "sex                             0.049554  1.000000  ... -0.001616  1.141967e-01\n",
              "chronic_disease_binary          0.193957  0.031708  ... -0.001344  8.962289e-02\n",
              "chronic_disease_Hypertension    0.167183  0.018917  ... -0.001076  7.735779e-02\n",
              "chronic_disease_Diabetes        0.116855  0.024827  ... -0.000800  5.928627e-02\n",
              "chronic_disease_kidney          0.080140  0.012495  ... -0.000500  3.442365e-02\n",
              "chronic_disease_COPD            0.071872  0.001556  ... -0.000263  2.039967e-02\n",
              "chronic_disease_heart           0.061443  0.014353  ... -0.000311  2.413922e-02\n",
              "chronic_disease_asthma          0.018021  0.000452  ... -0.000311  1.724230e-02\n",
              "chronic_disease_cardiac         0.046747  0.012216  ... -0.000288  2.234765e-02\n",
              "chronic_disease_prostate        0.053759  0.018004  ... -0.000263  1.223980e-02\n",
              "chronic_disease_cancer          0.032538  0.011385  ... -0.000166  1.074303e-17\n",
              "chronic_disease_TB              0.026688  0.008050  ... -0.000118  9.121491e-03\n",
              "chronic_disease_Hepatitis       0.021084  0.011385  ... -0.000166  1.290027e-02\n",
              "chronic_disease_HIV             0.011192 -0.014617  ... -0.000166  1.290027e-02\n",
              "chronic_disease_cereberal       0.039393 -0.002285  ... -0.000235  9.122630e-03\n",
              "chronic_disease_Parkinson       0.037745 -0.014617  ... -0.000166  1.290027e-02\n",
              "chronic_disease_bronchitis      0.037727  0.013944  ... -0.000204  1.580020e-02\n",
              "chronic_disease_hypothyroidism  0.031776 -0.007287  ... -0.000204  5.266733e-03\n",
              "chronic_disease_dyslipidemia    0.014316  0.011385  ... -0.000166  1.374174e-17\n",
              "anorexia                       -0.001823 -0.001616  ... -0.000166 -1.290027e-02\n",
              "chest pain                     -0.003412  0.000452  ... -0.000311 -1.724230e-02\n",
              "chills                         -0.003159  0.012216  ... -0.000288  1.489843e-02\n",
              "conjunctivitis                 -0.001289  0.008050  ... -0.000118  9.121491e-03\n",
              "cough                          -0.002414 -0.000231  ... -0.000959  9.006611e-03\n",
              "diarrhea                       -0.002233  0.003329  ... -0.000204  5.266733e-03\n",
              "dizziness                      -0.001289  0.008050  ... -0.000118 -9.121491e-03\n",
              "dyspnea                        -0.003159  0.004708  ... -0.000288 -2.234765e-02\n",
              "emesis                          0.036260  0.008050  ... -0.000118 -9.121491e-03\n",
              "expectoration                   0.024729 -0.001616  ... -0.000166 -1.290027e-02\n",
              "eye irritation                 -0.001289  0.008050  ... -0.000118  9.121491e-03\n",
              "fatigue                        -0.001653  0.006406  ... -0.000552 -8.470919e-17\n",
              "fever                          -0.003207 -0.010104  ... -0.001139  1.804041e-02\n",
              "gasp                           -0.003159  0.019723  ... -0.000288 -2.234765e-02\n",
              "headache                       -0.003869 -0.006494  ... -0.000353  2.129057e-02\n",
              "kidney failure                 -0.003647  0.003269  ... -0.000333 -2.580699e-02\n",
              "lesions on chest radiographs   -0.001823 -0.001616  ... -0.000166  1.290027e-02\n",
              "hypertension                   -0.001823 -0.001616  ... -0.000166 -1.290027e-02\n",
              "Myalgia                        -0.003647 -0.009735  ... -0.000333  6.451747e-03\n",
              "obnubilation                   -0.001289  0.008050  ... -0.000118 -9.121491e-03\n",
              "pneumonia                      -0.009139 -0.010628  ...  0.169776 -7.157917e-02\n",
              "myelofibrosis                  -0.001289 -0.010335  ... -0.000118 -9.121491e-03\n",
              "respiratory distress           -0.009052 -0.011361  ...  0.179156 -6.503736e-02\n",
              "rhinorrhea                     -0.007572 -0.003615  ... -0.000372  2.885549e-02\n",
              "shortness of breath            -0.002883  0.001556  ... -0.000263 -4.079934e-03\n",
              "somnolence                     -0.001289  0.008050  ... -0.000118 -9.121491e-03\n",
              "sore throat                    -0.004235 -0.016303  ... -0.000456  2.592185e-02\n",
              "sputum                         -0.002233 -0.007287  ... -0.000204  5.266733e-03\n",
              "septic shock                   -0.005624 -0.007095  ... -0.000513 -3.978946e-02\n",
              "Heart attack                   -0.002812 -0.001571  ...  0.195814 -3.290443e-02\n",
              "cold                           -0.002233  0.003329  ... -0.000204  5.266733e-03\n",
              "cardiac disease                -0.001823 -0.001616  ... -0.000166 -1.290027e-02\n",
              "hypoxia                        -0.001823 -0.001616  ...  1.000000 -1.290027e-02\n",
              "outcome                         0.126401  0.114197  ... -0.012900  1.000000e+00\n",
              "\n",
              "[54 rows x 54 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8jJQKy_ttZ8C"
      },
      "source": [
        "#checking X matrix\n",
        "numX=df[num_feat]\n",
        "#numX.head()\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kdznULH7tZ8E"
      },
      "source": [
        "\n",
        "y= df['outcome']\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L7Xu-YSZtZ8F",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2b147196-969b-4c50-f0b7-d9f688468d7f"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train1, X_test1, y_train1, y_test1 = train_test_split(numX, y, test_size=0.2, random_state=2)\n",
        "print(X_train1.shape)\n",
        "print(y_train1.shape)\n",
        "print(X_test1.shape)\n",
        "print(y_test1.shape)\n",
        "\n",
        "#X1=X_train1.to_numpy('float64')\n",
        "#X2=X1.resize((10818,9,6,1))\n",
        "\n",
        "\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(9616, 54)\n",
            "(9616,)\n",
            "(2404, 54)\n",
            "(2404,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BUV4vEbXI8ti",
        "outputId": "ae86a173-78e7-4947-e54c-cb6f1bc5e858"
      },
      "source": [
        "#from keras.utils import to_categorical\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D,Conv1D\n",
        "from keras.layers import MaxPooling1D,MaxPooling2D\n",
        "from keras.layers import Dense\n",
        "#from keras.optimizers import Adam\n",
        "from keras.layers import Flatten\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.layers import Dense, Conv2D, BatchNormalization, Activation, Reshape\n",
        "import os\n",
        "import zipfile\n",
        "import tensorflow as tf\n",
        "import numpy\n",
        "from keras.datasets import imdb\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.layers import LSTM\n",
        "from keras.layers.embeddings import Embedding\n",
        "from keras.preprocessing import sequence\n",
        "from keras.applications.vgg19 import VGG19\n",
        "from keras.layers import  MaxPooling1D\n",
        "\n",
        "import sys\n",
        "model = Sequential()\n",
        "model.add(Conv1D(filters=256, kernel_size=3, strides=1, activation='relu', input_shape=(54,1)))\n",
        "#model.add(Conv1D(filters=256, kernel_size=3, strides=1, activation='relu'))\n",
        "#model.add(Conv1D(filters=512, kernel_size=3, strides=1, activation='relu'))\n",
        "model.add(Conv1D(filters=256, kernel_size=3, strides=1, activation='relu'))\n",
        "model.add(Conv1D(filters=256, kernel_size=3, strides=1, activation='relu'))\n",
        "#model.add(Conv1D(filters=256, kernel_size=3, strides=1, activation='relu'))\n",
        "model.add(MaxPooling1D(pool_size=2 ,strides=1))\n",
        "#model.add(Reshape((64,32,3), input_shape=(24,256)))\n",
        "#model.add(Reshape((11,340,3), input_shape=(11,4,256)))\n",
        "#model.add(VGG19(include_top=False,weights=\"imagenet\",input_shape=(64,32,3)))\n",
        "model.add(Flatten())\n",
        "model.add(Dense(64, activation='relu'))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Dropout(0.5))\n",
        "model.add(Dense(32, activation='relu'))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Dropout(0.3))\n",
        "model.add(Dense(1, activation='sigmoid'))\n",
        "\n",
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " conv1d_5 (Conv1D)           (None, 52, 256)           1024      \n",
            "                                                                 \n",
            " conv1d_6 (Conv1D)           (None, 50, 256)           196864    \n",
            "                                                                 \n",
            " conv1d_7 (Conv1D)           (None, 48, 256)           196864    \n",
            "                                                                 \n",
            " max_pooling1d_1 (MaxPooling  (None, 47, 256)          0         \n",
            " 1D)                                                             \n",
            "                                                                 \n",
            " flatten_2 (Flatten)         (None, 12032)             0         \n",
            "                                                                 \n",
            " dense_6 (Dense)             (None, 64)                770112    \n",
            "                                                                 \n",
            " batch_normalization_4 (Batc  (None, 64)               256       \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " dropout_4 (Dropout)         (None, 64)                0         \n",
            "                                                                 \n",
            " dense_7 (Dense)             (None, 32)                2080      \n",
            "                                                                 \n",
            " batch_normalization_5 (Batc  (None, 32)               128       \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " dropout_5 (Dropout)         (None, 32)                0         \n",
            "                                                                 \n",
            " dense_8 (Dense)             (None, 1)                 33        \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 1,167,361\n",
            "Trainable params: 1,167,169\n",
            "Non-trainable params: 192\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fczdVw4ORoT_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "7e33f065-178a-4979-96cd-ad543c4d2be6"
      },
      "source": [
        "#Optimizer and fit function\n",
        "from tensorflow.keras.optimizers import RMSprop, Adamax\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "\n",
        "import os\n",
        "import tempfile\n",
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from tensorflow.keras.optimizers import SGD, Adam, Adamax, Adadelta\n",
        "import sklearn\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "#from keras.optimizers import \n",
        "from keras.callbacks import ModelCheckpoint, LearningRateScheduler\n",
        "\n",
        "\n",
        "#opt=Adam(0.00001)\n",
        "#opt =Nadam (0.00001)\n",
        "#opt =SGD (0.00007)\n",
        "#opt =RMSprop(0.00001)\n",
        "#opt =Adadelta (0.000031)\n",
        "#opt =Adagrad(0.00001)\n",
        "#opt =Adamax (0.00001)\n",
        "#opt = Adam(lr=0.0009)  #adam = Adam(lr=0.0001), momentum=0.9 \n",
        "opt=Adam(learning_rate= 0.0001)  \n",
        "#opt = keras.optimizers.Adam(learning_rate=0.07)\n",
        "#model.compile(loss='categorical_crossentropy', optimizer=opt)\n",
        "#opt=SGD(learning_rate=0.00087, momentum=0.9)\n",
        "\n",
        "METRICS = [\n",
        "      keras.metrics.TruePositives(name='tp'),\n",
        "      keras.metrics.FalsePositives(name='fp'),\n",
        "      keras.metrics.TrueNegatives(name='tn'),\n",
        "      keras.metrics.FalseNegatives(name='fn'), \n",
        "      keras.metrics.BinaryAccuracy(name='accuracy'),\n",
        "      keras.metrics.Precision(name='Precision'),\n",
        "      keras.metrics.Recall(name='Recall'),\n",
        "      keras.metrics.AUC(name='Auc'),\n",
        "      \n",
        "]\n",
        "model.compile(loss='binary_crossentropy',\n",
        "              optimizer= opt,\n",
        "              metrics='accuracy')\n",
        "\n",
        "from keras.wrappers.scikit_learn import KerasClassifier\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.model_selection import KFold\n",
        "from sklearn.metrics import accuracy_score\n",
        "import matplotlib.ticker as ticker \n",
        "import seaborn as sns\n",
        "# matrix = metrics.confusion_matrix(testy,yhat_classes)\n",
        "from sklearn import metrics \n",
        "import numpy as np \n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import precision_score, f1_score, recall_score, roc_auc_score, confusion_matrix\n",
        "from sklearn.datasets import make_circles\n",
        "\n",
        "kfold = KFold(n_splits=10, shuffle=False)\n",
        "\n",
        "#for train_index, test_index in kfold.split(df):\n",
        "    #print(train_index, test_index)\n",
        "\n",
        "# to get the values from our data, we use np.take() to access a value at particular index\n",
        "#for train_index, test_index in kfold.split(df):\n",
        "    #print(np.take(df,train_index), np.take(df,test_index))\n",
        "j=1           \n",
        "i = 1\n",
        "for train_index, test_index in kfold.split(df):\n",
        "    X4 = df.iloc[train_index].loc[:, num_feat]\n",
        "    X5 = df.iloc[test_index][num_feat]\n",
        "    y4= df.iloc[train_index].loc[:,'outcome']\n",
        "    y5 = df.loc[test_index]['outcome']\n",
        "    #print(X4.shape)\n",
        "    #print(X5.shape)\n",
        "    #print(y4.shape)\n",
        "\n",
        "    X6= X4.to_numpy('float64')\n",
        "    #print(X6.size)\n",
        "    X7=np.resize(X6,(10818,54,1))   #train data\n",
        "    #print(X7.size)\n",
        "    X8= X5.to_numpy('float64')\n",
        "    X9=np.resize(X8,(1202,54,1))   #validation data  \n",
        "    y6=y4.to_numpy('int')    #train output\n",
        "    y7=y5.to_numpy('int')    #validation output\n",
        "    train_x = X7\n",
        "    train_y = y6\n",
        "    validation_x = X9\n",
        "    validation_y = y7\n",
        "    #Train the model\n",
        "    history= model.fit(train_x , train_y, epochs=100, batch_size=16,verbose=1) #Training the model\n",
        "    ypre=model.predict(validation_x)\n",
        "    #print(type(validation_y))\n",
        "    #print(type(ypre))\n",
        "    pre_y=np.round(abs(ypre))\n",
        "    print(f\"Accuracy for the fold no. {i} on the test set: {accuracy_score(validation_y, pre_y )}\")\n",
        "    model.save('gdrive/My Drive/risk results1/RP9lstm_'+str(j)+'.h5')\n",
        "    #print(cross_val_score(model, validation_y, pre_y,  scoring=\"f1\", cv = kfold))\n",
        "    accuracy = accuracy_score(validation_y, pre_y)\n",
        "    print('Accuracy: %f' % accuracy)\n",
        "    # confusion matrix\n",
        "    matrix = confusion_matrix(validation_y, pre_y)\n",
        "    print(matrix)\n",
        "    ax=ax_+str(j)\n",
        "    ax=plt.subplot()\n",
        "    sns.heatmap(matrix,annot=True,ax=ax,fmt='g')#annot=True to annotate cells, fmt='g' numbers not scientific form\n",
        "    ax.set_xlabel('Predicted labels'); \n",
        "    ax.set_ylabel('True labels')\n",
        "    ax.set_title('Confusion Matrix'); \n",
        "    ax.xaxis.set_ticklabels(['Died', 'recovered']); \n",
        "    ax.yaxis.set_ticklabels(['Died', 'recovered']);\n",
        "    ax.set(yticks=[0, 2], xticks=[0.5, 1.5])\n",
        "    ax.yaxis.set_major_locator(ticker.IndexLocator(base=1, offset=0.5))\n",
        "    i += 1 \n",
        "    j=j+1 \n",
        "\n",
        "      \n",
        "\n",
        "\n",
        "        \n",
        "      \n",
        "\n",
        "#Save and serialize\n",
        "model.save('gdrive/My Drive/risk_predixtion_99.h5')\n",
        "print('model saved!!!!!')\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "677/677 [==============================] - 9s 10ms/step - loss: 0.3728 - accuracy: 0.8714\n",
            "Epoch 2/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3751 - accuracy: 0.8719\n",
            "Epoch 3/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3782 - accuracy: 0.8691\n",
            "Epoch 4/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3759 - accuracy: 0.8698\n",
            "Epoch 5/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3796 - accuracy: 0.8690\n",
            "Epoch 6/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3751 - accuracy: 0.8725\n",
            "Epoch 7/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3759 - accuracy: 0.8705\n",
            "Epoch 8/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3716 - accuracy: 0.8707\n",
            "Epoch 9/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3745 - accuracy: 0.8712\n",
            "Epoch 10/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3774 - accuracy: 0.8698\n",
            "Epoch 11/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3721 - accuracy: 0.8722\n",
            "Epoch 12/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3753 - accuracy: 0.8714\n",
            "Epoch 13/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3788 - accuracy: 0.8692\n",
            "Epoch 14/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3751 - accuracy: 0.8710\n",
            "Epoch 15/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3742 - accuracy: 0.8712\n",
            "Epoch 16/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3733 - accuracy: 0.8726\n",
            "Epoch 17/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3742 - accuracy: 0.8708\n",
            "Epoch 18/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3738 - accuracy: 0.8715\n",
            "Epoch 19/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3767 - accuracy: 0.8700\n",
            "Epoch 20/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3759 - accuracy: 0.8699\n",
            "Epoch 21/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3770 - accuracy: 0.8688\n",
            "Epoch 22/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3765 - accuracy: 0.8707\n",
            "Epoch 23/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3729 - accuracy: 0.8708\n",
            "Epoch 24/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3765 - accuracy: 0.8702\n",
            "Epoch 25/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3754 - accuracy: 0.8708\n",
            "Epoch 26/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3755 - accuracy: 0.8709\n",
            "Epoch 27/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3898 - accuracy: 0.8638\n",
            "Epoch 28/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3756 - accuracy: 0.8710\n",
            "Epoch 29/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3713 - accuracy: 0.8718\n",
            "Epoch 30/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3723 - accuracy: 0.8725\n",
            "Epoch 31/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3780 - accuracy: 0.8706\n",
            "Epoch 32/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3754 - accuracy: 0.8707\n",
            "Epoch 33/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3727 - accuracy: 0.8717\n",
            "Epoch 34/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3706 - accuracy: 0.8728\n",
            "Epoch 35/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3745 - accuracy: 0.8716\n",
            "Epoch 36/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3804 - accuracy: 0.8685\n",
            "Epoch 37/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3736 - accuracy: 0.8710\n",
            "Epoch 38/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3750 - accuracy: 0.8707\n",
            "Epoch 39/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3733 - accuracy: 0.8721\n",
            "Epoch 40/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3715 - accuracy: 0.8713\n",
            "Epoch 41/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3688 - accuracy: 0.8726\n",
            "Epoch 42/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3782 - accuracy: 0.8698\n",
            "Epoch 43/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3747 - accuracy: 0.8707\n",
            "Epoch 44/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3705 - accuracy: 0.8730\n",
            "Epoch 45/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3749 - accuracy: 0.8702\n",
            "Epoch 46/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3757 - accuracy: 0.8707\n",
            "Epoch 47/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3764 - accuracy: 0.8697\n",
            "Epoch 48/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3761 - accuracy: 0.8712\n",
            "Epoch 49/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3724 - accuracy: 0.8719\n",
            "Epoch 50/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3770 - accuracy: 0.8697\n",
            "Epoch 51/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3744 - accuracy: 0.8703\n",
            "Epoch 52/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3781 - accuracy: 0.8700\n",
            "Epoch 53/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3725 - accuracy: 0.8708\n",
            "Epoch 54/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3763 - accuracy: 0.8693\n",
            "Epoch 55/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3735 - accuracy: 0.8709\n",
            "Epoch 56/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3756 - accuracy: 0.8699\n",
            "Epoch 57/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3757 - accuracy: 0.8706\n",
            "Epoch 58/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3768 - accuracy: 0.8708\n",
            "Epoch 59/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3721 - accuracy: 0.8726\n",
            "Epoch 60/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3769 - accuracy: 0.8695\n",
            "Epoch 61/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3720 - accuracy: 0.8709\n",
            "Epoch 62/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3727 - accuracy: 0.8698\n",
            "Epoch 63/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3707 - accuracy: 0.8717\n",
            "Epoch 64/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3709 - accuracy: 0.8714\n",
            "Epoch 65/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3721 - accuracy: 0.8718\n",
            "Epoch 66/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3713 - accuracy: 0.8715\n",
            "Epoch 67/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3714 - accuracy: 0.8715\n",
            "Epoch 68/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3745 - accuracy: 0.8690\n",
            "Epoch 69/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3735 - accuracy: 0.8687\n",
            "Epoch 70/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3697 - accuracy: 0.8725\n",
            "Epoch 71/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3694 - accuracy: 0.8717\n",
            "Epoch 72/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3724 - accuracy: 0.8717\n",
            "Epoch 73/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3686 - accuracy: 0.8722\n",
            "Epoch 74/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3756 - accuracy: 0.8679\n",
            "Epoch 75/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3714 - accuracy: 0.8710\n",
            "Epoch 76/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3684 - accuracy: 0.8723\n",
            "Epoch 77/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3703 - accuracy: 0.8718\n",
            "Epoch 78/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3713 - accuracy: 0.8698\n",
            "Epoch 79/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3718 - accuracy: 0.8722\n",
            "Epoch 80/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3713 - accuracy: 0.8718\n",
            "Epoch 81/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3678 - accuracy: 0.8721\n",
            "Epoch 82/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3719 - accuracy: 0.8713\n",
            "Epoch 83/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3670 - accuracy: 0.8735\n",
            "Epoch 84/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3693 - accuracy: 0.8735\n",
            "Epoch 85/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3727 - accuracy: 0.8690\n",
            "Epoch 86/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3705 - accuracy: 0.8719\n",
            "Epoch 87/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3701 - accuracy: 0.8710\n",
            "Epoch 88/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3709 - accuracy: 0.8710\n",
            "Epoch 89/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3697 - accuracy: 0.8727\n",
            "Epoch 90/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3682 - accuracy: 0.8715\n",
            "Epoch 91/100\n",
            "677/677 [==============================] - 6s 10ms/step - loss: 0.3703 - accuracy: 0.8710\n",
            "Epoch 92/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3733 - accuracy: 0.8700\n",
            "Epoch 93/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3685 - accuracy: 0.8712\n",
            "Epoch 94/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3703 - accuracy: 0.8711\n",
            "Epoch 95/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3684 - accuracy: 0.8727\n",
            "Epoch 96/100\n",
            "677/677 [==============================] - 7s 10ms/step - loss: 0.3680 - accuracy: 0.8735\n",
            "Epoch 97/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3687 - accuracy: 0.8710\n",
            "Epoch 98/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3708 - accuracy: 0.8708\n",
            "Epoch 99/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3689 - accuracy: 0.8720\n",
            "Epoch 100/100\n",
            "677/677 [==============================] - 6s 9ms/step - loss: 0.3668 - accuracy: 0.8714\n",
            "Accuracy for the fold no. 1 on the test set: 0.8785357737104825\n",
            "Accuracy: 0.878536\n",
            "[[   0    0]\n",
            " [ 146 1056]]\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-48-bf5a2e5d0535>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m    107\u001b[0m     \u001b[0mmatrix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconfusion_matrix\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalidation_y\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpre_y\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    108\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmatrix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 109\u001b[0;31m     \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max_\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    110\u001b[0m     \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    111\u001b[0m     \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheatmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmatrix\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mannot\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfmt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'g'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m#annot=True to annotate cells, fmt='g' numbers not scientific form\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'ax_' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cUvQpCqrY8wW"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k6Mz7qZv0hH-"
      },
      "source": [
        "#import Keras\n",
        "from keras.models import load_model\n",
        "model = load_model('gdrive/My Drive/risk_predixtion_66.h5')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WfGammcFzyH6"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        },
        "id": "0EDNFJDyuMnL",
        "outputId": "a748e1bc-a9b9-4a3d-f233-8fe8819998c0"
      },
      "source": [
        "from keras.models import load_model\n",
        "from sklearn.metrics import classification_report\n",
        "\n",
        "model = load_model('gdrive/My Drive/risk results1/RP6_7.h5')\n",
        "import matplotlib.ticker as ticker \n",
        "import seaborn as sns\n",
        "# matrix = metrics.confusion_matrix(testy,yhat_classes)\n",
        "from sklearn import metrics \n",
        "import numpy as np \n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import precision_score, f1_score, recall_score, roc_auc_score, confusion_matrix\n",
        "from sklearn.datasets import make_circles\n",
        "X_test2=np.resize(X_test1,(2404,54,1))   #validation data  \n",
        "y_test2=y_test1.to_numpy('int')    #train output\n",
        "validation_x = X_test2\n",
        "validation_y = y_test2\n",
        "ypre=model.predict(validation_x)\n",
        "pre_y=np.where(ypre>0.5, 1, 0)\n",
        "accuracy = accuracy_score(validation_y, pre_y)\n",
        "print('Accuracy: %f' % accuracy)\n",
        "print('Classification Report')\n",
        "target_names = ['Recovered', 'Died']\n",
        "print(classification_report(validation_y, pre_y, target_names=target_names))\n",
        "# confusion matrix\n",
        "matrix = confusion_matrix(validation_y, pre_y)\n",
        "print(matrix)\n",
        "ax=plt.subplot()\n",
        "sns.heatmap(matrix,annot=True,ax=ax,cmap='OrRd_r', fmt='g')#annot=True to annotate cells, fmt='g' numbers not scientific form\n",
        "ax.set_xlabel('Predicted labels'); \n",
        "ax.set_ylabel('True labels')\n",
        "ax.set_title('Confusion Matrix'); \n",
        "ax.xaxis.set_ticklabels(['Died', 'recovered']); \n",
        "ax.yaxis.set_ticklabels(['Died', 'recovered']);\n",
        "ax.set(yticks=[0, 2], \n",
        "       xticks=[0.5, 1.5])\n",
        "ax.yaxis.set_major_locator(ticker.IndexLocator(base=1, offset=0.5))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.860649\n",
            "Classification Report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "   Recovered       0.81      0.94      0.87      1209\n",
            "        Died       0.93      0.78      0.85      1195\n",
            "\n",
            "    accuracy                           0.86      2404\n",
            "   macro avg       0.87      0.86      0.86      2404\n",
            "weighted avg       0.87      0.86      0.86      2404\n",
            "\n",
            "[[1137   72]\n",
            " [ 263  932]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0jQ5oMXVMq2F"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aEvTQ6VwK5iE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "643d3b68-64b1-4417-adcc-76fd1c318852"
      },
      "source": [
        "#LSTM-CNN code\n",
        "#from keras.utils import to_categorical\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D,Conv1D\n",
        "from keras.layers import MaxPooling2D\n",
        "from keras.layers import Dense\n",
        "#from keras.optimizers import SGD, Adam\n",
        "from keras.layers import Flatten\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.layers import Dense, Conv2D, BatchNormalization, Activation, Reshape\n",
        "import os\n",
        "import zipfile\n",
        "import tensorflow as tf\n",
        "import numpy\n",
        "from keras.datasets import imdb\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.layers import LSTM\n",
        "from keras.layers.embeddings import Embedding\n",
        "from keras.preprocessing import sequence\n",
        "import sys\n",
        "from keras.layers import TimeDistributed\n",
        "from keras.models import Sequential\n",
        "from keras.layers import LSTM, Dense\n",
        "from keras.models import load_model\n",
        "from keras import regularizers\n",
        "from keras.layers import Dense, Dropout, Flatten,Activation \n",
        "from keras.layers import AveragePooling2D, Input, Flatten\n",
        "import numpy as np\n",
        "from tensorflow import keras\n",
        "from keras.layers import InputLayer\n",
        "from tensorflow.keras.optimizers import RMSprop\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import os\n",
        "import tempfile\n",
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "#from keras.optimizers import SGD, Adam\n",
        "import sklearn\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "def crate_Model(): #LSTM-CNN code model for Pneumnia deep learning detection\n",
        "    model = Sequential()\n",
        "    model.add(BatchNormalization(input_shape=(54,1)))\n",
        "    model.add(Reshape((9,6,1), input_shape=(54,1)))\n",
        "    print(\"shape is {}\".format(model.output_shape))\n",
        "    model.add(TimeDistributed(LSTM(256, activation='tanh',return_sequences = True)))\n",
        "    model.add(Dropout(0.6))\n",
        "    model.add(BatchNormalization())\n",
        "    model.add(TimeDistributed(Conv1D(256, kernel_size=4, activation='relu',\n",
        "                                     padding=\"same\",\n",
        "                                     kernel_regularizer=regularizers.l2(0.01), \n",
        "                                     bias_regularizer=regularizers.l2(0.01))))\n",
        "    model.add(Conv1D(filters=256, kernel_size=3, strides=1, activation='relu'))\n",
        "    model.add(AveragePooling2D((2,2)))\n",
        "    model.add(Flatten())\n",
        "    model.add(Dropout(0.25))\n",
        "    model.add(Dense(units=128, activation='relu'))\n",
        "    model.add(Dense(units=64, activation='relu'))\n",
        "    model.add(Dense(units=1, activation='sigmoid'))\n",
        "    print(model.summary())\n",
        "    #model.compile(loss='categorical_crossentropy', optimizer=adam,metrics=METRICS)\n",
        "  \n",
        "    return model\n",
        "model=crate_Model()\n",
        "\n",
        "#model1.summary()\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shape is (None, 9, 6, 1)\n",
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " batch_normalization_2 (Batc  (None, 54, 1)            4         \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " reshape (Reshape)           (None, 9, 6, 1)           0         \n",
            "                                                                 \n",
            " time_distributed (TimeDistr  (None, 9, 6, 256)        264192    \n",
            " ibuted)                                                         \n",
            "                                                                 \n",
            " dropout_2 (Dropout)         (None, 9, 6, 256)         0         \n",
            "                                                                 \n",
            " batch_normalization_3 (Batc  (None, 9, 6, 256)        1024      \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " time_distributed_1 (TimeDis  (None, 9, 6, 256)        262400    \n",
            " tributed)                                                       \n",
            "                                                                 \n",
            " conv1d_4 (Conv1D)           (None, 9, 4, 256)         196864    \n",
            "                                                                 \n",
            " average_pooling2d (AverageP  (None, 4, 2, 256)        0         \n",
            " ooling2D)                                                       \n",
            "                                                                 \n",
            " flatten_1 (Flatten)         (None, 2048)              0         \n",
            "                                                                 \n",
            " dropout_3 (Dropout)         (None, 2048)              0         \n",
            "                                                                 \n",
            " dense_3 (Dense)             (None, 128)               262272    \n",
            "                                                                 \n",
            " dense_4 (Dense)             (None, 64)                8256      \n",
            "                                                                 \n",
            " dense_5 (Dense)             (None, 1)                 65        \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 995,077\n",
            "Trainable params: 994,563\n",
            "Non-trainable params: 514\n",
            "_________________________________________________________________\n",
            "None\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1j1ML--aNjZu"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lgpm2tLcxeEk",
        "outputId": "d9e8d15d-eb04-4cf6-fadd-f866018514b7"
      },
      "source": [
        "#load and preprocessing the augmanted images\n",
        "#from keras.utils import to_categorical\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D\n",
        "from keras.layers import MaxPooling2D\n",
        "from keras.layers import Dense\n",
        "from keras.layers import Flatten\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "#from keras.preprocessing.image import image_dataset_from_directory \n",
        "import os\n",
        "import zipfile\n",
        "# Directory with our training pictures\n",
        "train_risk_covid = os.path.join('gdrive/My Drive/Risk Prediction/train/Test Risk COVID/')\n",
        "#train_risk_covid = os.path.join('gdrive/My Drive/Risk Prediction/train/train/')\n",
        "\n",
        "\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "#crate the image generator to (resize, normalize, filter and augmantation) images\n",
        "# All images will be rescaled by 1./255\n",
        "train_datagen = ImageDataGenerator(\n",
        "      rescale=1./255,\n",
        "      validation_split=0.2,\n",
        "      fill_mode='nearest')\n",
        "\n",
        "\n",
        "# Flow training images in batches of 32 using train_datagen generator\n",
        "train_generator = train_datagen.flow_from_directory(\n",
        "        train_risk_covid ,  # This is the source directory for training images\n",
        "       target_size=(224, 224),  # All images will be resized to 224x224\n",
        "       batch_size=32,\n",
        "        subset='training',\n",
        "        shuffle=False,\n",
        "        # Since we use categorical_crossentropy loss, \n",
        "        class_mode='binary')\n",
        "\n",
        "# Flow validation images in batches of 64 using validation_datagen generator\n",
        "validation_generator = train_datagen.flow_from_directory(\n",
        "        train_risk_covid , # This is the source directory for validation images\n",
        "        target_size=(224, 224),  # All images will be resized to 224x224\n",
        "        batch_size=32,\n",
        "        shuffle=False,\n",
        "        subset='validation',\n",
        "        # Since we use categorical_crossentropy loss, \n",
        "        class_mode='binary')\n",
        "\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 362 images belonging to 2 classes.\n",
            "Found 1448 images belonging to 2 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IsTN4FGlNnNG"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ekpw6NqHrGxo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "05f08832-ecfc-41fd-9816-9dd55198d398"
      },
      "source": [
        "#CNN model \n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D, MaxPooling2D\n",
        "from keras.layers import Activation, Dropout, Flatten, Dense\n",
        "from keras import regularizers\n",
        "from tensorflow.keras import initializers\n",
        "from keras.layers import Dense, Conv2D, BatchNormalization, Activation\n",
        "\n",
        "\n",
        "\n",
        "model = Sequential() #CNN code model for Pneumnia deep learning detection\n",
        "model.add(Conv2D(256, (3, 3), input_shape=(224, 224, 3),padding=\"same\", \n",
        "                 kernel_initializer='random_normal',bias_initializer='zeros', \n",
        "                 kernel_regularizer=regularizers.l2(0.02), \n",
        "                 bias_regularizer=regularizers.l2(0.02)))\n",
        "model.add(Activation('relu'))\n",
        "model.add(BatchNormalization())\n",
        "\n",
        "model.add(Conv2D(128, (3, 3),padding=\"same\", kernel_initializer='random_normal',\n",
        "                 bias_initializer='zeros', \n",
        "                 kernel_regularizer=regularizers.l2(0.02), \n",
        "                 bias_regularizer=regularizers.l2(0.02)))\n",
        "model.add(Activation('relu'))\n",
        "#model.add(BatchNormalization())\n",
        "model.add(MaxPooling2D(pool_size=(3, 3),strides=(3,3)))\n",
        "model.add(Dropout(0.2))\n",
        "\n",
        "model.add(Conv2D(64, (3, 3)))\n",
        "model.add(Activation('relu'))\n",
        "model.add(BatchNormalization())\n",
        "#model.add(MaxPooling2D(pool_size=(2, 2),strides=(3,3)))\n",
        "\n",
        "model.add(Flatten())  # this converts our 3D feature maps to 1D feature vectors\n",
        "\n",
        "model.add(Dense(512,activation='relu'))\n",
        "model.add(Dropout(0.5))\n",
        "model.add(Dense(64,activation='relu'))\n",
        "model.add(Dense(1,activation='sigmoid'))\n",
        "\n",
        "model=model\n",
        "\n",
        "model.summary()\n",
        "\n",
        "# CNN Model\n",
        " \n",
        "#from keras.optimizers import SGD, Adam\n",
        "from keras.utils.np_utils import to_categorical\n",
        "from keras.wrappers.scikit_learn import KerasClassifier\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.regularizers import l2\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D, Lambda, MaxPooling2D,AveragePooling2D# convolution layers\n",
        "from keras.layers import Dense, Dropout, Flatten,Activation # core layers1\n",
        "#from keras.layers.normalization import BatchNormalization\n",
        "from tensorflow.keras.optimizers import RMSprop, Adamax\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        " \n",
        "import os\n",
        "import tempfile\n",
        " \n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from tensorflow.keras.optimizers import SGD, Adam\n",
        "import sklearn\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from keras import regularizers\n",
        "\n",
        "classes_no=8\n",
        "\n",
        "#MobileNetV2 using trained weights model\n",
        "import numpy as np\n",
        "import keras\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from keras import layers\n",
        "from keras.layers import Dense, Conv2D, BatchNormalization, Activation\n",
        "from keras.layers import AveragePooling2D, Input, Flatten\n",
        "#from keras.optimizers import Adam\n",
        "from keras.callbacks import ModelCheckpoint, LearningRateScheduler\n",
        "from keras.callbacks import ReduceLROnPlateau\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.regularizers import l2\n",
        "from keras import backend as K\n",
        "from keras.models import Model\n",
        "import numpy as np\n",
        "#from keras.layers.normalization import BatchNormalization\n",
        "#from keras.applications import ResNet152V2,MobileNetV2\n",
        "import os\n",
        "import tensorflow as tf\n",
        "#from keras.utils import to_categorical\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D\n",
        "from keras.layers import MaxPooling2D\n",
        "from keras.layers import Dense\n",
        "from keras.layers import Flatten\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "import os\n",
        "import zipfile\n",
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "import keras\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from keras import layers\n",
        "from keras.layers import Dense, Conv2D, BatchNormalization, Activation\n",
        "from keras.layers import AveragePooling2D, Input, Flatten\n",
        "#from keras.optimizers import Adam\n",
        "from keras.callbacks import ModelCheckpoint, LearningRateScheduler\n",
        "from keras.callbacks import ReduceLROnPlateau\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.regularizers import l2\n",
        "from keras import backend as K\n",
        "from keras.models import Model\n",
        "import numpy as np\n",
        "import os\n",
        "import tensorflow as tf\n",
        "#from keras.optimizers import SGD, Adam, RMSprop \n",
        "from keras.utils.np_utils import to_categorical\n",
        "from keras.wrappers.scikit_learn import KerasClassifier\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.regularizers import l2\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D, Lambda, MaxPooling2D,AveragePooling2D# convolution layers\n",
        "from keras.layers import Dense, Dropout, Flatten,Activation,Reshape # core layers1\n",
        "#from keras.layers.normalization import BatchNormalization\n",
        "#from keras.applications.resnet50 import ResNet50\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions\n",
        "import numpy as np\n",
        "\n",
        "#opt=Adam(0.00001)\n",
        "#opt =Nadam (0.00001)\n",
        "#opt =SGD (0.00007)\n",
        "#opt =RMSprop(0.00001)\n",
        "#opt =Adadelta (0.000031)\n",
        "#opt =Adagrad(0.00001)\n",
        "#opt =Adamax (0.00001)\n",
        "#opt = Adam(lr=0.0009)  #adam = Adam(lr=0.0001), momentum=0.9 \n",
        "opt=Adam(learning_rate= 0.0001)  \n",
        "#opt = keras.optimizers.Adam(learning_rate=0.07)\n",
        "#model.compile(loss='categorical_crossentropy', optimizer=opt)\n",
        "#opt=SGD(learning_rate=0.00087, momentum=0.9)\n",
        "\n",
        "#opt = RMSprop(learning_rate=0.001) \n",
        "#opt = SGD(lr= 0.00006, momentum=0.9)    \n",
        "#opt = Adamax(lr= 0.000009, beta_1=0.9, beta_2=0.999, epsilon=1e-07)\n",
        "    # Compile model\n",
        "METRICS = [\n",
        "      keras.metrics.TruePositives(name='tp'),\n",
        "      keras.metrics.FalsePositives(name='fp'),\n",
        "      keras.metrics.TrueNegatives(name='tn'),\n",
        "      keras.metrics.FalseNegatives(name='fn'), \n",
        "      keras.metrics.BinaryAccuracy(name='accuracy'),\n",
        "      keras.metrics.Precision(name='precision'),\n",
        "      keras.metrics.Recall(name='recall'),\n",
        "      keras.metrics.AUC(name='auc'),\n",
        "  ]\n",
        "   \n",
        "model.compile(loss='binary_crossentropy', optimizer= opt, metrics=[METRICS])\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " conv2d (Conv2D)             (None, 224, 224, 256)     7168      \n",
            "                                                                 \n",
            " activation (Activation)     (None, 224, 224, 256)     0         \n",
            "                                                                 \n",
            " batch_normalization (BatchN  (None, 224, 224, 256)    1024      \n",
            " ormalization)                                                   \n",
            "                                                                 \n",
            " conv2d_1 (Conv2D)           (None, 224, 224, 128)     295040    \n",
            "                                                                 \n",
            " activation_1 (Activation)   (None, 224, 224, 128)     0         \n",
            "                                                                 \n",
            " max_pooling2d (MaxPooling2D  (None, 74, 74, 128)      0         \n",
            " )                                                               \n",
            "                                                                 \n",
            " dropout (Dropout)           (None, 74, 74, 128)       0         \n",
            "                                                                 \n",
            " conv2d_2 (Conv2D)           (None, 72, 72, 64)        73792     \n",
            "                                                                 \n",
            " activation_2 (Activation)   (None, 72, 72, 64)        0         \n",
            "                                                                 \n",
            " batch_normalization_1 (Batc  (None, 72, 72, 64)       256       \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " flatten (Flatten)           (None, 331776)            0         \n",
            "                                                                 \n",
            " dense (Dense)               (None, 512)               169869824 \n",
            "                                                                 \n",
            " dropout_1 (Dropout)         (None, 512)               0         \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 64)                32832     \n",
            "                                                                 \n",
            " dense_2 (Dense)             (None, 1)                 65        \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 170,280,001\n",
            "Trainable params: 170,279,361\n",
            "Non-trainable params: 640\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    }
  ]
}