manoelhortaribeiro/CODE Dataset.ipynb

## CODE Dataset.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Making The `CODE` ECG Classification Dataset\n",
    "---\n",
    "\n",
    "\n",
    "We are given ECG exams that were classified according to one of the following classes:\n",
    "\n",
    "1. Bloqueio atrioventricular de 1° grau (`BAV1`)\n",
    "2. Bloqueio de Ramo Direito (`BRD`)\n",
    "3. Bloqueio de Ramo Esquerdo (`BRE`)\n",
    "4. Bradicardia Sinusal (`BradSin`)\n",
    "5. Fibrilação Atrial (`FibAtrial`)\n",
    "6. Taquicardia Sinusal (`TaqSin`)\n",
    "7. Flutter Atrial (`FlutterAtrial`)\n",
    "\n",
    "By one of the following methods:\n",
    "\n",
    "1. Glasgow Automatic Classification System (`GLASGOW`)\n",
    "2. Minnesota Automatic Classification System (`Minnesota`)\n",
    "3. An algorithm that extracts the diagnostic from the text given by a doctor (`Text`)\n",
    "\n",
    "These are all synthetized in a file named `dados_pacientes_exames_GTM.csv` which contains a row for a pair `exame-laudo`:\n",
    "\n",
    "| Fields | Description  |\n",
    "| ---    | ---          |\n",
    "|`[N_paciente_univoco, N_exame]` | unique identifiers for patients and exams.|\n",
    "|`[Idade, Sexo]` | Age and gender of patient. |\n",
    "|`[(DurP/IntPR/DurQRS/IntQ/SDNN/HRV/HR)_G` | Glasgow measurements |\n",
    "|`(diagnosticname)_T` | Each row contains 1 if the method `Text` claims the exam corresponding to the row diagnoses the pacient with `(diagnosticname)` and 0 otherwise |\n",
    "|`(diagnosticname)_G` | Each row contains 1 if the method `GLASGOW` claims the exam corresponding to the row diagnoses the pacient with `(diagnosticname)` and 0 otherwise |\n",
    "|`(diagnosticname)_M` | Each row contains 1 if the method `Minnesota` claims the exam corresponding to the row diagnoses the pacient with `(diagnosticname)` and 0 otherwise \n",
    "| `N_registro_exame_G, Resultado` | Rows to ignore and perhaps remove |\n",
    "\n",
    "## The classes\n",
    "---\n",
    "\n",
    "We now describe how to use the three classification methods we have to obtain a labelled dataset. We begin by defining different classes of exam w.r.t. their classification by the method. We define them as follows:\n",
    "\n",
    "| Class         | Description                                                     |\n",
    "| ---           | ---                                                             |\n",
    "|`Ausente`      | ... if none of the three methods indicated it                   |\n",
    "|`Improvavel MN`| ... if only `Minnesota` indicated it                            |\n",
    "|`Improvavel Gl`| ... if only `GLASGOW` indicated it                              |\n",
    "|`Duvidoso AUT` | ... if `GLASGOW` and `Minnesota` indicated it, but `Text` didn't|\n",
    "|`Duvidoso TXT` | ... if `Text` indicated it, but `GLASGOW` and `Minnesota` didn't|\n",
    "|`Certo`        | ... if `Text` and either `GLASGOW` or `Minnesota`  indicated it |\n",
    "\n",
    "We can express this in code as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Example of the classes created for FibAtrial  ['Ausente' 'Ausente' 'Ausente' ... 'Ausente' 'Ausente' 'Certo']\n"
     ]
    }
   ],
   "source": [
    "def rule(col):\n",
    "    if col == 0:\n",
    "        return \"Ausente\"\n",
    "    if col == 1:\n",
    "        return \"Improvavel MN\"\n",
    "    if col == 10:\n",
    "        return \"Improvavel GL\"\n",
    "    if col == 11:\n",
    "        return \"Duvidoso AUT\"\n",
    "    if col == 100:\n",
    "        return \"Duvidoso TXT\"\n",
    "    if col >= 110:\n",
    "        return \"Certo\"\n",
    "    \n",
    "diagnosticos = [\"BAV1\", \"BRD\", \"BRE\", \"BradSin\", \"FibAtrial\", \"TaquiSin\", \"FlutterAtrial\"]\n",
    "df = pd.read_csv('./dados_pacientes_exames_GTM.csv')\n",
    "\n",
    "for d in diagnosticos:\n",
    "    df[d + \"_F\"] = (df[d + \"_T\"] * 100 + df[d + \"_G\"] * 10 + df[d + \"_M\"]).map(lambda x: rule(x))\n",
    "\n",
    "print(\"Example of the classes created for FibAtrial \", df[\"FibAtrial_F\"].values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also visualize the distribution of these classes in our dataset, for each one of the diagnostics:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 4500x2100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "classes = [\"Ausente\", \"Improvavel MN\", \"Improvavel GL\", \"Duvidoso AUT\", \"Duvidoso TXT\", \"Certo\"  ]\n",
    "classes = classes[::-1]\n",
    "colors  = [\"None\"   , \"#FC0D0D\"      , \"#F2711B\"      , \"#EDBC34\"      , \"#3484ED\"    , \"#ED349D\"]\n",
    "shifts  = [0        , 0.3      , 0.15           , 0              , -0.15          , -0.3         ]\n",
    "f, axes = plt.subplots(1, 1, figsize=(15, 7), dpi=300)\n",
    "for d, i in zip(diagnosticos, range(len(diagnosticos))):\n",
    "    acc = 0\n",
    "    labels = []\n",
    "    for class_v, color_v, shift_v in zip(classes[:-1], colors[1:], shifts[1:]):\n",
    "        not_absent = (df[d + \"_F\"] != \"Ausente\").sum()\n",
    "        val = (df[d + \"_F\"] == class_v).sum()\n",
    "        bar = axes.barh(i, val, left=acc, height=0.9, color=color_v)\n",
    "        acc += val\n",
    "        labels.append(bar)\n",
    "\n",
    "leg = axes.legend(labels, classes[:-1])\n",
    "axes.set_yticks(range(len(diagnosticos)))\n",
    "y_ticks = axes.set_yticklabels(diagnosticos)\n",
    "xlim = axes.set_xlim([0,40000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The rules\n",
    "----\n",
    "\n",
    "A first way to reduce uncertainty is to use the measurements provided by glasgow to filter out some diagnostics that are **defined by the measurements**, or that are very unlikely given the measurements. We then propose a set of rules that these diagnostics must follow. If they don't follow the rules, they'll be immediately thrown into the class `Ausente`. More specifically we require:\n",
    "\n",
    "1. For `TaquiSin` heart rate (`HR_G`) must be over $100$.\n",
    "2. For `FibAtrial` age (`Idade`) must be over $50$.\n",
    "3. For `BradSin` heart rate (`HR_G`) must be bellow $50$.\n",
    "4. For `BRE` and `BRD` the duration of the QRS interval (`DurQRS_G`) must be above $115$.\n",
    "5. For `BAV1` the duration of the PR interval must be over $190$ and the age  (`Idade`) above $19$.\n",
    "\n",
    "We can express this as follows in code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rules_ann(d, df):\n",
    "    if d == \"FlutterAtrial\":\n",
    "        return [True] * len(df)\n",
    "    if d == \"TaquiSin\":\n",
    "        return df[\"HR_G\"] >= 100\n",
    "    if d == \"FibAtrial\":\n",
    "        return df[\"Idade\"] >= 50\n",
    "    if d == \"BradSin\":\n",
    "        return df[\"HR_G\"] <= 50\n",
    "    if d == \"BRE\":\n",
    "        return (df[\"DurQRS_G\"] >= 115)\n",
    "    if d == \"BRD\":\n",
    "        return df[\"DurQRS_G\"] >= 115\n",
    "    if d == \"BAV1\":\n",
    "        return (df[\"IntPR_G\"] >= 190) & (df[\"Idade\"] >= 19)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can visualize how these rules \"clean\" the dataset, by adding a hatch to the amount of exams they lead to the class `Ausente`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 4500x2100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, axes = plt.subplots(1, 1, figsize=(15, 7), dpi=300)\n",
    "for d, i in zip(diagnosticos, range(len(diagnosticos))):\n",
    "    df[d + \"_bad_rule\"] = np.invert(rules_ann(d, df))\n",
    "    acc = 0\n",
    "    labels = []\n",
    "    for class_v, color_v, shift_v in zip(classes[:-1], colors[1:], shifts[1:]):\n",
    "        not_absent = (df[d + \"_F\"] != \"Ausente\").sum()\n",
    "        val = (df[d + \"_F\"] == class_v).sum()\n",
    "        val_bad =  (df[df[d + \"_F\"] == class_v][d + \"_bad_rule\"]).sum()\n",
    "        bar = axes.barh(i, val, left=acc, height=0.9, color=color_v)\n",
    "        if class_v != \"Certo\":\n",
    "            bar_bad = axes.barh(i, val_bad, left=acc, height=0.9, color=color_v, hatch='---')\n",
    "        acc += val\n",
    "        labels.append(bar)\n",
    "\n",
    "leg = axes.legend(labels, classes[:-1])\n",
    "axes.set_yticks(range(len(diagnosticos)))\n",
    "y_ticks = axes.set_yticklabels(diagnosticos)\n",
    "xlim = axes.set_xlim([0,40000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This leads us to a simpler dataset, which we show now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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Yvaq6QbbfoH18klOTfGOSe2X7vR8XJ3lUa+3Vu5xy1XU/mTxg8bqdc753Rr9uJqyaMevKsuTgzQlgNNaQZbOclJ3fpHja1jj3SnJuVT2itfa6Oc8ry44my4BN8xNJvnXr30dyapGHbexkjPdNjHFOg1LIDBx0l+vsf2GJUPz8HucEYHOdlORnk9yxqr63tXbRLn27+dHNl1211lpVfTHJ5Xc556y2dWbfUHMCYD1kU8cBnRMA6/PNSf6+qh7SWnvRHn3l2WzyDKCjqk5L8nud5pe01t6yx6Errf8z+h9fVSe21r7c8zizjllLps3ofxDmBLARVsizVdwlyTuq6j6ttdfv0VeezTeWPAM2wY8k+ck9+rQk/y/JE1pr/7RH30HW4603ZHXferlqxqwry+Yaa+A5AYxJ31m2iusleXVV/XRr7Wm7dZRly48DMBZVdZ0kPz/V9EuttbN7Ov0Y75sY45wGdcx+XwDAHrqL5ZeWOMcX9zgnAOPRkrwpyROT3D3JNZKcnOQySU5P8r2Z3LTRzZMzkzy/qro/Yk0bKpOGzD45C3C4yablx5KBAAfTJzJ5O9gPJLl5Jk+QP/LU+m9K8mNJujd3nJTkj6qq+5axLnm2/DgAG6OqjknyR5n8rnjEZzN5Gv1eVl2Xu2vyrHP2Mc6ssdaVaQdxTgCjt2KeTTs/ye8kuX8mb/46JZPvaFdKcuskj03yvs4xpyV5aVXdaI9zy7P5xpJnABMvSvILcxZ+7ddvc8uMddB/b1xmLFkGMNsiWTbtc0lemOQRSW6VyVsbj09yhUy+pz0iyd92jjk2yW9U1YP2OLcsW34cgLH4P0kuu/Xvs5P8Yo/nHuN9E2Oc06C8kRk46C7T2b94iXN0n4J70pLXAsDB9sokz2utvWeHzy/Y2l5eVT+f5PlJ7jD1+T0yeTrib+1w/FCZNGT2yVmAw002LT+WDAQ4eH4gyYtaa7PW5M9sbe9M8vSq+uEkT0ty4tbnJyR5XlVdv7W20x9w5Nny4wBskl9J8p86bT/cWvvQHMeuui531+Rk/9f/Mc4JYBOskmfJpOj5nkle0Vr76ozPP7m1va2qfj3Jz25tR16ocUomD5y69S5vCpFn840lzwAmHpDkAVX1hiQPb62ds0vf/fptbpmxDvrvjcuMJcsAZlsky454TJK/bK1dNOOzz21tZyd5VlXdJ8mzMvk+liSV5JlV9drW2kd3OL8sW34cgEOvqh6R5G5buy3Jo3a4X2NZY7xvYoxzGpQ3MgMHXffGwxOWOMeJnf1lnkYBwAHXWnvTLkXM3b7nZ/Ll682dj/5HVZ28w2FDZdKQ2SdnAQ432bT8WDIQ4IBprf3fef8o1lr7vSQPTjJ9Q/3pSX50l8Pk2fLjAGyEqvqJJP+t0/zU1toL5jzFqutyd02edc4+xpk11roy7SDOCWDUesiztNY+3Vr78x2KmLt9L22tnTVjzFsmue8uh8qz+caSZ8DotdYe3VqrI1uSk5NcM8n3JHlmtr9F6o5J3lpVt9rllPv129wyYx303xuXGUuWARtnDVl25Lwv2qGIeVbfP8vkgVbTY52c5Im7HCbLlh8H4FCrqqsl+dWppme01t7Q8zBjvG9ijHMalEJm4KDrfgGb9aSkvXSfHDHXlzoAxm3rLV3/JcklU81XSfIdOxwyVCYNmX1yFuBwk03LjyUDAQ651tqLk/xhp/kHdzlEni0/DsDoVdWDk/xmp/k5SR6/wGlWXZdnPQl9v9f/Mc4JYLR6yrOltNaeluR1neaxfEeTZwADaq19sbV2fmvtFa21Rya5eZJ/nOpySpKXVNUps8+wb7/NLTPWQf+9cZmxZBmw8XrIsmXH/bskT+00P7iqdqoZkmXLjwNw2D09kzxKko8meewaxhjjfRNjnNOgFDIDB113sTy5qmrBc1x2j3MCsKFaa+ckeVmned5C5m6+7Gorv5b58rHO7BtqTgCsh2zqOKBzAmB9fq2zf/Oq+vod+sqz2eQZsPGq6nuSPDfJ9Br64iSPbK21BU610vo/o/8lWw9j7HucWcesJdNm9D8IcwIYpR7zbBXd72h3qarjdugrz+YbS54BG2/rvo67J/nQVPPpSR6zwyGDrMettS8muXTFsYbKsrnGGnhOABtjiSxbxdOyfS0/LcnMtz/LsuXHATjMqur+Se4z1fSTrbXPrGGoMd43McY5DUohM3DQfSLJ9B/Vjs/kbZmLOL2z//GVrgiAsXl1Z/+GO/Tr5sc1Fhzn65NM36zx1UxyrmvI7BtqTgCsh2w62kGcEwBr0lr752xffyvJDXboLs9mk2fARquqOyd5Ubavu69K8n2tte4Nb3tZdf3vrskXzjlO97hlxlpXph3EOQGMTs95toq/yfbvKJdPcrUd+sqz+caSZwBJWmufSPKkTvNDd+i+6rqfJFff45xHdDNh1YxZV5YlB29OABtlwSxbZZxPJ/mHTvNO90MmsmwWWQaM3a9M/fsVrbUXrmmcMd43McY5DUohM3CgbT0Z6YOd5msteJpu/7OXvyIARuhDnf0r79Dv3zr7q+bRB2Y9rX3g7BtkTgCsjWzae5yDMCcA1uv8zv7M73TybO6x5BmwMarqtkleluQyU81vSnKf1trFS5yy7/V/pzX5fUkumdo/qap2+k1z1bHGOCeAUVlDni2ttfb5JJ/uNO+0nsuz1cYC2ER/lu03cl+9qq49o99K635VXSXbc/XiTNb4WYbKmDHOCWATzZtlq5r3fshEls0iy4CxO2Xq3/eoqrbXluQ1nXNce0a/W3T6jPG+iTHOaVAKmYHDoLtg3mTB42+8x/kA2Gxf6ewfv0O/IfNoqLFkLMDhJpuWH2fosQBYn3m/0yXybNWxAEajqm6e5C+TXG6q+R1JvnurCGsZg6zJrbWvJDl32bGq6sQk151nrBntY5gTwGisKc9WNdd3NHl2NHkGsLvW2meSfKrTfNUZXbtr5/Wq6oQFhuqu++e21i6Z2XP/fm8cw5wANs4CWbaqw/C3M1kGMH5jvG9ijHMalEJm4DD4x87+7ec9sKquluSMqaavJHl3D9cEwHh0fwy8cId+78r2H/nO2MqZed2hs9/Nt90+W1f2DTknAPonm452EOcEwHrN+50ukWfbyDNgU1XVDZO8KsmpU83/muQ7W2ufXeHU3TX51lV13ALHD7L+J7llkhOn9j/SWvv4nOOMYU4Ao7DGPFvlmo5LcsVO81q+o0WeATDRLdRKa+2jST461XRiJmvsvIb6be64JLeZZ6wxzgmA/3BUlvVgqL+dyTIAdjPG+ybGOKdBKWQGDoOXd/bvVlU157Hf0dl/TWvtoh6uCYDx+LbO/odmdWqt/XuS13ea7z7PAFu5dbdO85/vcsgg2TfwnADomWza7qDOCYD1qaprJLl2p3nmd7ot8mw7eQZsnKq6dpK/TnKVqeb3J7l7a223G/r21Fo7O9vfwnjZzHlTQVVdNsntpk+Xo9f4ad3P5sqZHfrumDNjnBPAGKwzz1b0rUmmC4QvyfYb1bvk2e595RnAlKq6fJLTOs0f26H7Kzr761qPu+Pcfis75nGHJCdP7b+ntfaeBcYaw5wANsqCWbbsGCcmuXWnebe/ncmy7WQZsAnulcm6usj2M51zfGxGn3OmO4zxvokxzmloCpmBw+BNST4xtX/dJGfOeewjOvsv7eOCABiHqjolyX/uNL96l0Ne1tnv5sxO7pzkOlP7H0vy97v0HzL7hpoTAOshm77mIM8JgPXorscfaq29d5f+8mz3a5JnwKhtPX381UmuMdX84SR3ba19uKdhll3/H5jkclP7b2utXbBL/7/IpDjsiDOr6rp7DbJ1g8NDO83ryrSDPCeAQ2ugPFtWNyPe3Fr7wi795dkWeQYwl3skmb5p+8IkH9mhb3fdf9g8N3xX1fWSfPtU01cyWdtnaq19KMk7ppoul+QBe42zZdXfG8cwJ4BNs0iWLetB2V6I++Ukb9ypsyw7iiwDRq+19rrW2l8vsiV5e+c0X5rRb1ah7BjvmxjjnAajkBk48FprX03ynE7zk/b68lJVd01yx6mmf0/ywn6vDoBD7leTnDK1f3GSv9yl//OTfH5q/05VdZfdBtjKqyd1mp+9lW8zDZx9g8wJgLWRTTkUcwKgZ1V14yQ/3Wl+yW7HyLNtY8kzYKNU1WlJXpXkelPNF2by5sr39zjUszJ5U+MRD9rKrN2u7TJJHt9pfuZux7TWPpXtuVdJzprj+h6e5Iyp/Q9k8kbP3YxxTgCH0oB5trCqOjPJD3aa9/qOJs++Rp4B7KKqTkry5E7zy3f53eyvkpw/tX9GkofNMdRZ2V5g9qettc/ucUw3Gx6/lSE72sqgB041zfqNr2uMcwLYGEtk2TJjXDXJL3SaX7nHA6YSWZZElgGsyRjvmxjjnAajkBk4LJ6SZPoJHd+e5HE7da6q05M8o9P8tNbaJ2b1B+Bwq6rHV9UtF+h/XFX9Wo5+4tDvttZ2fMpha+3jSf53p/kZVXX1XYZ7QpI7Te3///buNeSyqowD+H+pIyretcC812hpihKFkGEqKkQhWUpOVw2K6kOipUUQUtqFtIwktSLCQIOsqC9hJGalHzTwkqaRljfMu463dAxdfVjHPHM87zv7jPs9M+e8vx88zMw5a7/PXl/WM3u/69n7iSTndDjNqdS+Kc8JgJ6pTf+3Uc8JgIWVUg4upZxaStlq3aNfPibJ5Um2Gfr42STf7HC4eqaeActMKWWbtLrx5qGPVyc5ptZ6W5+5aq23ZO3NAJsnubiUsu0C51aSfDfJPkMf/yut2WpdzkzbTPeSj5RSVi00uJSyf9qDHYedVWt9frEk8zgngFk0rXpWSjm6lHJyKWWzCY45Msmvkmw69PH9SS7qcLh6pp4By0gp5VullLdNeMyOaW+82nfo4xeSnLfQMbXWNXllI9e5gzV3oTwfTPLhkRyjG83H+VGSe4b+vW+S8xbaXD6oPT9Nq0UvubTWeutiSeZxTgCzaBq1rJSySynlK6WUHSbIsVfaNeOuQx/XdHuwklqmlgEsiXncNzGPc5qqWqsQQsxEpC3edSQuSPK6oTGbJHlv2tNph8fdl2T7DT0HIYQQSxNJrhqs99ckOSXJAUk2GzNuuySrktwwpqbckWSnDrl2TNt8MXzsXUmOTVKGxu2WtkFjNM/pE8xrKrVvmnMSQojlFkkOTXLUmPjcyFr6wALjjkqy/zpyqE0zMCchhJjlWMp6luTwwbGPJPlhkncl2XnMuJLkwCTfS/LcmLX7lAnmo56pZ0KIZRRJ/jBmjfzyIjVrsdihQ76VaU9iH853Y5LDR8btm+SXY87thAnm9oORY19I8tXh80yyIslJSR4bGXtTxtxDXS5zEkKIWYtp1bPB+lrT3pJ1XpIjkmw3ZtymSQ5JcvFgrR5du4+bYG7qmXomhFgmMVh3a5Jrk5yW5OAkK8aMK0neNKh1D49Zk8/pkGtFkltGjns0yUeH19m0e3hnjaln359gXqvGnONlSfYZGXfkYJ0fHvdUkr075pm7OQkhxKzFNGpZ2puKX1pPL0nyvgz9vmdk7MokZ6c96Go0x3kTzEstU8uEEGLByMv7Ol6KuyY4du72TczjnKYVZXDCABu9UsomSX6T5D0jX72QtuA+kWTvJNuPfP9skqNrrdcs+UkCsEGUUq5Ke8rQsDVpmyyeSKsVO6Xd5NtkzI94IMlhtdbbO+Y7LMnvkmwx8tXqJHem1aI9svaT55NWx46rHf8TPs3aN605ASw3pZS7kuz5Kn/MxbXWk9aRR2162UY7J4BZtZT1rJRyeNqG/FEPpjU3P5Vk67QnyC/05Plv11o/3/VE1LO1qGfA3Cul9Hnf6oha61Udcp6Y5NK0DYvDHk57E8hr0zYvjH5/fq31s11PppSyVZI/JnnryFfPp9WZNUlen1ZLhz2S5NBa6z8myDV3cwKYJdOqZ6WUk5L8ZMxX96U13D6TZNu065jRtThpG+ROqbWe3/Vk1LO1qGfAXCul3JjkoJGPn0+rM6sHf98mye6DP8e5OMnHa60vdsi3X5Kr0zaZD3s6yT+TbJl2z2zFyPfXpT3o4tl15RjKdUGST498XJPcm1Zn9kyy88j3Lyb5QK31FxPkmbs5AcySadSywduV7xzz1aNJHkryZNp6v0uS1yyQ47IkJ3apl0N51bJGLQMYMWZfx9211r0mOH7u9k3M45ymQSMzMFNKKVuk/dLsxI6HPJrk+C6bSgCYXQs0Mnf12yQn11ofmjDnkWk3/EZvqC3k0rQbkGsmzDO12jetOQEsJ9NqZB7kUptmYE4As2gDNTJ38WSSz9RaL5n0QPUsiXoGLBMbopF5kHdVkh+nbbzr4twkZ0z6wMBSyo5pdebIjofcleTYWuvNk+QZ5Jq7OQHMio2gkbmL+5N8rNb6+0kPVM+SqGfAMrBA81dXTyb5YpKLJlmTSykHpW367np/84okJ9RaV09ycoPN5ecmObXjIf9J26vy80nyDHLN3ZwAZsU0atkijcxdrEnypbS3MU96DaOWqWUAY73aRubBz5i7fRPzOKelNu5tdAAbrVrrc7XWVUmOT3LjIkOfSXJBkv03xsUXgN59LclFSf6W9oShdXk67cLhnbXWd0/axJwktdYrk+yf5MK0G1gLuSHJ+2utH1qfht9p1r5pzQmApaE2zcacAHiFm5N8IcnlaW/36uLvSc5Istf6NDEn6lnUM4AlV2v9WZID0jYl/HeRoX9Ke5PI6ZNuLhzkeSzJ0Uk+meSORYY+luTrSQ5c3wapeZwTAK9wZZIzk1yV5KkO419Mcn2STyVZuT5NzIl6FvUMWD5Wpd0LvCKtmWtdapK/Jjk9rc5cOOmaXGu9KcmBSb6R5PFFht6e5BNJjpm0SWqQ58Va62lpD7D48yJDn09ySZID1rdJah7nBDBDplHLHkxySpJfD/7exd1Jzk7y+lrrd9bzGkYtU8sAlsw87puYxzktNW9kBmZaKWVlkkOS7Jpk8ySrk9yW5Jpa63Mb8twA2DBKKVulXRTslWSXJFunPcBnddpNr1uT3Fxr7dLw3DXnlknenmS/JNun3di6L8m1tdbFNiasT66p1L5pzgmA/qlNrzqXa02ADaSUsmeSfZLskWSHtDdkPZd2PXd/2rr/6BLkVc8AWDKllG2TvCOtxm2TVtvuSVuT7+s514FJ3pJ2b3TTtKeu35JWaxZr1po0z9zNCYC1lVJKkjckWZlk97RrmC3SNsQ9nuTeJNfVWrts3p80t3oGMOcGb0jcJ63O7JFk2yQr0h6k8UTam+qv77POlFJWpN0vOyDJTmkPyr9/kKfXh0mUUnZLuw+4R1r9fCqtGetqcwKYD9OqZaWUXZK8cZBj5yRbpf1+6fEkDyX5S631368mxwJ51TIAlsQ87puYxzktBY3MAAAAAAAAAAAAAAAAAABA7zbZ0CcAAAAAAAAAAAAAAAAAAADMH43MAAAAAAAAAAAAAAAAAABA7zQyAwAAAAAAAAAAAAAAAAAAvdPIDAAAAAAAAAAAAAAAAAAA9E4jMwAAAAAAAAAAAAAAAAAA0DuNzAAAAAAAAAAAAAAAAAAAQO80MgMAAAAAAAAAAAAAAAAAAL3TyAwAAAAAAAAAAAAAAAAAAPROIzMAAAAAAAAAAAAAAAAAANA7jcwAAAAAAAAAAAAAAAAAAEDvNDIDAAAAAAAAAAAAAAAAAAC908gMAAAAAAAAAAAAAAAAAAD0TiMzAAAAAAAAAAAAAAAAAADQO43MAAAAAAAAAAAAAAAAAABA7zQyAwAAAAAAAAAAAAAAAAAAvdPIDAAAAAAAAAAAAAAAAAAA9E4jMwAAAAAAAAAAAAAAAAAA0DuNzAAAAAAAAAAAAAAAAAAAQO80MgMAAAAAAAAAAAAAAAAAAL3TyAwAAAAAAAAAAAAAAAAAAPROIzMAAAAAAAAAAAAAAAAAANA7jcwAAAAAAAAAAAAAAAAAAEDvNDIDAAAAAAAAAAAAAAAAAAC908gMAAAAAAAAAAAAAAAAAAD0TiMzAAAAAAAAAAAAAAAAAADQO43MAAAAAAAAAAAAAAAAAABA7zQyAwAAAAAAAAAAAAAAAAAAvdPIDAAAAAAAAAAAAAAAAAAA9E4jMwAAAAAAAAAAAAAAAAAA0DuNzAAAAAAAAAAAAAAAAAAAQO80MgMAAAAAAAAAAAAAAAAAAL3TyAwAAAAAAAAAAAAAAAAAAPROIzMAAAAAAAAAAAAAAAAAANA7jcwAAAAAAAAAAAAAAAAAAEDvNDIDAAAAAAAAAAAAAAAAAAC908gMAAAAAAAAAAAAAAAAAAD0TiMzAAAAAAAAAAAAAAAAAADQu/8BFAZMGgzx+WIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 4500x2100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, axes = plt.subplots(1, 1, figsize=(15, 7), dpi=300)\n",
    "for d, i in zip(diagnosticos, range(len(diagnosticos))):\n",
    "    df[d + \"_bad_rule\"] = np.invert(rules_ann(d, df))\n",
    "    acc = 0\n",
    "    labels = []\n",
    "    for class_v, color_v, shift_v in zip(classes[:-1], colors[1:], shifts[1:]):\n",
    "        if class_v != \"Certo\":\n",
    "            df.loc[(df[d + \"_F\"] == class_v) & (df[d + \"_bad_rule\"]), d + \"_F\"] = \"Anulado\"\n",
    "        not_absent = (df[d + \"_F\"] != \"Ausente\").sum()\n",
    "        val = (df[d + \"_F\"] == class_v).sum()\n",
    "        bar = axes.barh(i, val, left=acc, height=0.9, color=color_v)\n",
    "        acc += val\n",
    "        labels.append(bar)\n",
    "\n",
    "leg = axes.legend(labels, classes[:-1])\n",
    "axes.set_yticks(range(len(diagnosticos)))\n",
    "y_ticks = axes.set_yticklabels(diagnosticos)\n",
    "xlim = axes.set_xlim([0,40000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspecting `Duvidoso TXT` and `Duvidoso AUT`\n",
    "---\n",
    "\n",
    "Two classes of major interest in this new dataset are `Duvidoso TXT` and `Duvidoso AUT`. We sample around (100) of each of these classes for each of the diagnosis and asked one doctor and one medicine student to re-examine the ECG."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "total = False\n",
    "total_duvidoso_aut = False\n",
    "amostra = []\n",
    "for d in diagnosticos:\n",
    "\n",
    "    total = total | (df[d + \"_F\"] == \"Duvidoso TXT\")\n",
    "    total = total | (df[d + \"_F\"] == \"Duvidoso AUT\")\n",
    "    total_duvidoso_aut = total_duvidoso_aut | (df[d + \"_F\"] == \"Duvidoso AUT\")\n",
    "    tmp_txt = df[(df[d + \"_F\"] == \"Duvidoso TXT\")]\n",
    "    tmp_aut = df[(df[d + \"_F\"] == \"Duvidoso AUT\")]\n",
    "    amostra += tuple(zip(tmp_txt[\"N_exame\"].sample(min(len(tmp_txt), 100)).tolist(), min(len(tmp_txt), 100) * [d]))\n",
    "    amostra += tuple(zip(tmp_aut[\"N_exame\"].sample(min(len(tmp_aut), 100)).tolist(), min(len(tmp_aut), 100) * [d]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Considering this as a ground truth, we report the sensitivity of each class for each diagnostic:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 4500x2100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import glob\n",
    "\n",
    "f, axes = plt.subplots(1, 1, figsize=(15, 7), dpi=300)\n",
    "i=0\n",
    "labels_file = []\n",
    "for filename in glob.iglob('./reauditoria/*.csv'):\n",
    "    df_reauditoria = pd.read_csv(filename,  encoding='latin-1', sep=';')\n",
    "    df_merged = df.merge(right=df_reauditoria, left_on=\"N_exame\", right_on=\"ID_EXAME\")\n",
    "    exam = filename[14:-4] + \"_F\"\n",
    "        \n",
    "    duvidoso_aut = df_merged[df_merged[exam] == \"Duvidoso AUT\"][\"LAUDO_CORRETO\"]\n",
    "    total_aut, val_aut = duvidoso_aut.count(), duvidoso_aut.sum()\n",
    "    duvidoso_txt = df_merged[df_merged[exam] == \"Duvidoso TXT\"][\"LAUDO_CORRETO\"]\n",
    "    total_txt, val_txt = duvidoso_txt.count(), duvidoso_txt.sum()\n",
    "    labels_file.append(exam[:-2])\n",
    "    _ = axes.plot([i-0.25, i+0.25], [val_aut/total_aut, val_txt/total_txt],  \"-\", color=\"#CCCCCC\")\n",
    "    sc1 = axes.plot([i-0.25], [val_aut/total_aut],  \"o\", color=\"#EDBC34\")\n",
    "    axes.text(i-0.25,val_aut/total_aut-0.05, \"{0}\".format(round(val_aut/total_aut,2)), verticalalignment='center')\n",
    "    axes.text(i+0.25,val_txt/total_txt-0.05, \"{0}\".format(round(val_txt/total_txt,2)), verticalalignment='center')\n",
    "    sc2 = axes.plot([i+0.25], [val_txt/total_txt],  \"o\", color=\"#F2711B\")\n",
    "    i+=1\n",
    "\n",
    "    leg = axes.legend((sc1[0], sc2[0]) , (\"Glasgow+Minnesota\", \"Text\"))\n",
    "axes.set_xticks(range(len(labels_file)))\n",
    "x_ticks = axes.set_xticklabels(labels_file)\n",
    "xlim = axes.set_ylim([0,1])\n",
    "_ = axes.set_ylabel(\"Sensitivity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trimming the Dataset Even Further\n",
    "---\n",
    "\n",
    "We add additional rules for the `BRE` and the `FibAtrial` classes, based on a ROC curve analysis. Using the duration of the QR interval for `BRE` and the `SDNN` for `FibAtrial` we calculate the optimal cutoff point and then add rules corresponding to these cutoff points!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 3600x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from  sklearn.metrics import roc_curve, auc\n",
    "\n",
    "def find_cutoff(target, predicted):\n",
    "    fpr, tpr, threshold = roc_curve(target, predicted)\n",
    "    i = np.arange(len(tpr)) \n",
    "    roc = pd.DataFrame({'tf' : pd.Series(tpr-(1-fpr), index=i), 'threshold' : pd.Series(threshold, index=i)})\n",
    "    pos = (roc.tf-0).abs().argsort()[:1]\n",
    "    roc_t = roc.iloc[pos]\n",
    "    return list(roc_t['threshold']), pos\n",
    "\n",
    "\n",
    "y_true_bre, y_true_fib = df[\"BRE_F\"] == \"Certo\", df[\"FibAtrial_F\"] == \"Certo\"\n",
    "y_score_bre, y_score_fib = df[\"DurQRS_G\"], df[\"SDNN_G\"]\n",
    "fpr_bre, tpr_bre, thresholds_bre = roc_curve(y_true_bre, y_score_bre)\n",
    "fpr_fib, tpr_fib, thresholds_fib = roc_curve(y_true_fib, y_score_fib)\n",
    "roc_auc_bre = auc(fpr_bre, tpr_bre)\n",
    "roc_auc_fib = auc(fpr_fib, tpr_fib)\n",
    "threshold_bre, cut_bre = find_cutoff(y_true_bre,y_score_bre )\n",
    "threshold_fib, cut_fib = find_cutoff(y_true_fib,y_score_fib )\n",
    "\n",
    "f, axes = plt.subplots(1, 2, figsize=(12, 5), dpi=300)\n",
    "\n",
    "\n",
    "axes[0].plot(fpr_bre, tpr_bre, color='darkorange',\n",
    "         lw=2, label='ROC curve (area = %0.2f)' % roc_auc_bre)\n",
    "axes[0].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "axes[0].scatter([fpr_bre[cut_bre]], [tpr_bre[cut_bre]], label=\"Threshold = %0.f\" % threshold_bre[0])\n",
    "axes[0].set_xlabel(\"False Positive Rate\")\n",
    "axes[0].set_ylabel(\"True Positive Rate\")\n",
    "axes[0].legend()\n",
    "\n",
    "axes[1].plot(fpr_fib, tpr_fib, color='darkorange',\n",
    "         lw=2, label='ROC curve (area = %0.2f)' % roc_auc_fib)\n",
    "axes[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "axes[1].scatter([fpr_fib[cut_fib]], [tpr_fib[cut_fib]], label=\"Threshold = %0.f\" % threshold_fib[0])\n",
    "axes[1].set_xlabel(\"False Positive Rate\")\n",
    "axes[1].set_ylabel(\"True Positive Rate\")\n",
    "_ = axes[1].legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can see the same plot with the newly added rules which were originated from the analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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