resolving_discrepancy_with_num_opioid_abusers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from opioidabusepredictor import generate_feature_matrix as GFM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame = GFM.get_data_frame(GFM.query_that_results_in_table_of_positive_indicators_of_Opioid_abuse)\n",
    "data_frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame[\"person_id\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame = data_frame.drop_duplicates(subset = [\"visit_occurrence_id\"])\n",
    "data_frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame[\"person_id\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "table_of_visit_occurrences = GFM.get_data_frame(GFM.query_that_results_in_table_of_visit_occurrences_for_cohort)\n",
    "table_of_visit_occurrences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "table_of_visit_occurrences.drop_duplicates(subset = [\"visit_occurrence_id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sum(table_of_visit_occurrences[\"person_ID\"].isin(data_frame[\"person_id\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(data_frame[\"person_id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "table_of_visit_occurrences.drop_duplicates(subset = [\"visit_occurrence_id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_matrix = GFM.get_data_frame(GFM.query_that_results_in_feature_matrix)\n",
    "feature_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slice_of_feature_matrix_where_patients_have_Opioid_abuse = feature_matrix[feature_matrix[\"has_Opioid_abuse\"] == 1]\n",
    "slice_of_feature_matrix_where_patients_have_Opioid_abuse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "len(pd.unique(slice_of_feature_matrix_where_patients_have_Opioid_abuse[\"person_id\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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