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1pha/gist:e7a8c9ded5b4ae1cd1583df907077e79

Created August 17, 2023 04:08
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 1 Distribution Analysis\n",
"\n",
"약물 투여 여부를 중심으로 연구를 진행하게 되었다. 기존 근시 환자의 내방 이후 최종 검진 시 SE값을 예측하는 예측모델에 그쳤다면, 여기에 더 나아가 약물사용이 어떻게 모델 예측에 영향력을 미치는지 살펴보는 방향을 진행한다. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"방법론의 경우 다음과 같은 여러 가지 방법론을 염두에 두고 있다.\n",
"\n",
"1. 약물사용력의 Feature importance를 살펴보기\n",
"2. 약물사용력을 제외하고 사용군/비사용군 모두를 예측에 활용하기. 그리고 1번과 비교하기\n",
"3. 환자데이터를 제공하고 약물사용여부를 예측하기. 이 예측력은 기존 SE분포에 의해 영향을 많이 받기 때문에 분포 조절을 잘해주어야한다."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"이에 약물사용군과 비사용군 분포를 살펴보는 것부터 진행한다."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from typing import Dict, Callable, List\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set_theme()\n",
"\n",
"import myopia.data.io as io\n",
"from myopia.data.constants import PK"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:/Users/daehyuncho/codespace/myopia-project/myopia/data/io.py:Start Loading the data\n",
"/Users/daehyuncho/codespace/myopia-project/myopia/data/utils.py:33: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df = pd.read_csv(name, encoding=encoding, **kwargs)\n",
"/Users/daehyuncho/codespace/myopia-project/myopia/data/utils.py:33: DtypeWarning: Columns (0,5,6,7,8,9,10,11,12,48) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df = pd.read_csv(name, encoding=encoding, **kwargs)\n"
]
}
],
"source": [
"drug, person, oper, iol, exam = io.load_data(do_preprocess=False, use_drug=\"all\", debug=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 약물 사용군/비사용군 나누기 / 기초통계량\n",
"우안을 기준으로 사용하였음"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def _in(ptno_an: int, df: pd.DataFrame, use: bool) -> pd.Series:\n",
" return ptno_an in df[PK].unique() if use else ptno_an not in df[PK].unique()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"drugTrue_exam = exam[exam.PTNO_AN.apply(_in, df=drug, use=True)]\n",
"drugFalse_exam = exam[exam.PTNO_AN.apply(_in, df=drug, use=False)]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
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"text/plain": [
" PTNO_AN LABDT FLD02 FLD03 FLD04 SE SEQID\n",
"249914 54776 2021-12-06 -4.50 -0.25 180 -4.625 1\n",
"250213 54776 2022-01-03 -4.50 -0.50 180 -4.750 1\n",
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"250221 54776 2022-08-16 -4.75 -0.50 180 -5.000 1\n",
"103170 299015 2015-04-06 -1.50 -0.50 90 -1.750 1\n",
"... ... ... ... ... ... ... ...\n",
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"111694 99928487 2022-10-07 -5.25 -1.50 5 -6.000 1\n",
"\n",
"[7954 rows x 7 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"drugTrue_exam"
]
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{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
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"text/plain": [
" PTNO_AN LABDT FLD02 FLD03 FLD04 SE SEQID\n",
"232191 18135 2019-09-19 -3.50 -0.25 170 -3.625 1\n",
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"\n",
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},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drugFalse_exam"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"set()"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 두 군이 disjoint하게 잘 나뉘어졌는지 확인\n",
"set(drugTrue_exam.PTNO_AN.unique()) & set(drugFalse_exam.PTNO_AN.unique())"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"drugTrue_iol = iol[iol.PTNO_AN.apply(_in, df=drug, use=True)]\n",
"drugFalse_iol = iol[iol.PTNO_AN.apply(_in, df=drug, use=False)]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
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" <td>2022-05-06</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99928487</td>\n",
" <td>26.4</td>\n",
" <td>41.67</td>\n",
" <td>42.72</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36323</th>\n",
" <td>50514302</td>\n",
" <td>2022-10-07</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99928487</td>\n",
" <td>26.44</td>\n",
" <td>41.41</td>\n",
" <td>42.94</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>10291 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" PTNO LABDT ORDERCODE SEQIMG PTNO_AN AL K1_1 K2_1 \\\n",
"24974 50720077 2018-08-09 US036Z 1 46495 24.18 43.21 44.29 \n",
"6048 50720077 2019-02-21 US036ZB 1 46495 24.32 43.16 44.41 \n",
"24975 50720077 2019-12-11 US036ZB 1 46495 24.44 42.99 44.35 \n",
"24976 50720077 2020-06-08 US036ZB 1 46495 24.68 42.94 44.76 \n",
"25395 50720077 2020-11-16 US036ZB 1 46495 24.81 42.99 44.7 \n",
"... ... ... ... ... ... ... ... ... \n",
"12922 50514302 2021-01-22 US036ZB 1 99928487 26.26 41.21 NaN \n",
"12923 50514302 2021-05-28 US036Z 1 99928487 26.33 41.36 42.99 \n",
"12924 50514302 2021-10-22 US036Z 1 99928487 26.4 41.31 42.78 \n",
"12925 50514302 2022-05-06 US036Z 1 99928487 26.4 41.67 42.72 \n",
"36323 50514302 2022-10-07 US036Z 1 99928487 26.44 41.41 42.94 \n",
"\n",
" ACD \n",
"24974 NaN \n",
"6048 NaN \n",
"24975 NaN \n",
"24976 NaN \n",
"25395 NaN \n",
"... ... \n",
"12922 NaN \n",
"12923 NaN \n",
"12924 NaN \n",
"12925 NaN \n",
"36323 NaN \n",
"\n",
"[10291 rows x 9 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drugTrue_iol"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PTNO</th>\n",
" <th>LABDT</th>\n",
" <th>ORDERCODE</th>\n",
" <th>SEQIMG</th>\n",
" <th>PTNO_AN</th>\n",
" <th>AL</th>\n",
" <th>K1_1</th>\n",
" <th>K2_1</th>\n",
" <th>ACD</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>8505</th>\n",
" <td>70501544</td>\n",
" <td>2019-02-26</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>16161</td>\n",
" <td>25.93</td>\n",
" <td>44.7</td>\n",
" <td>47.14</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29199</th>\n",
" <td>70501544</td>\n",
" <td>2021-08-12</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>16161</td>\n",
" <td>26.13</td>\n",
" <td>44.29</td>\n",
" <td>47.2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28921</th>\n",
" <td>50798456</td>\n",
" <td>2020-10-08</td>\n",
" <td>US036ZB</td>\n",
" <td>1</td>\n",
" <td>18135</td>\n",
" <td>25.46</td>\n",
" <td>43.16</td>\n",
" <td>44.53</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28922</th>\n",
" <td>50798456</td>\n",
" <td>2021-04-16</td>\n",
" <td>US036ZB</td>\n",
" <td>1</td>\n",
" <td>18135</td>\n",
" <td>25.5</td>\n",
" <td>42.94</td>\n",
" <td>44.58</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>50156090</td>\n",
" <td>2011-12-20</td>\n",
" <td>US031</td>\n",
" <td>3</td>\n",
" <td>26342</td>\n",
" <td>27.63</td>\n",
" <td>42.72</td>\n",
" <td>45.49</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21948</th>\n",
" <td>50634916</td>\n",
" <td>2019-11-18</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99981417</td>\n",
" <td>21.0</td>\n",
" <td>42.94</td>\n",
" <td>46.17</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21949</th>\n",
" <td>50634916</td>\n",
" <td>2021-06-16</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99981417</td>\n",
" <td>22.2</td>\n",
" <td>42.88</td>\n",
" <td>45.79</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21950</th>\n",
" <td>50634916</td>\n",
" <td>2022-05-25</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99981417</td>\n",
" <td>22.44</td>\n",
" <td>43.16</td>\n",
" <td>45.55</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3569</th>\n",
" <td>50670574</td>\n",
" <td>2021-09-08</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99994725</td>\n",
" <td>26.81</td>\n",
" <td>37.58</td>\n",
" <td>38.97</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19553</th>\n",
" <td>50670574</td>\n",
" <td>2021-12-08</td>\n",
" <td>US036Z</td>\n",
" <td>1</td>\n",
" <td>99994725</td>\n",
" <td>26.89</td>\n",
" <td>37.58</td>\n",
" <td>38.7</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>26933 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" PTNO LABDT ORDERCODE SEQIMG PTNO_AN AL K1_1 K2_1 \\\n",
"8505 70501544 2019-02-26 US036Z 1 16161 25.93 44.7 47.14 \n",
"29199 70501544 2021-08-12 US036Z 1 16161 26.13 44.29 47.2 \n",
"28921 50798456 2020-10-08 US036ZB 1 18135 25.46 43.16 44.53 \n",
"28922 50798456 2021-04-16 US036ZB 1 18135 25.5 42.94 44.58 \n",
"129 50156090 2011-12-20 US031 3 26342 27.63 42.72 45.49 \n",
"... ... ... ... ... ... ... ... ... \n",
"21948 50634916 2019-11-18 US036Z 1 99981417 21.0 42.94 46.17 \n",
"21949 50634916 2021-06-16 US036Z 1 99981417 22.2 42.88 45.79 \n",
"21950 50634916 2022-05-25 US036Z 1 99981417 22.44 43.16 45.55 \n",
"3569 50670574 2021-09-08 US036Z 1 99994725 26.81 37.58 38.97 \n",
"19553 50670574 2021-12-08 US036Z 1 99994725 26.89 37.58 38.7 \n",
"\n",
" ACD \n",
"8505 NaN \n",
"29199 NaN \n",
"28921 NaN \n",
"28922 NaN \n",
"129 NaN \n",
"... ... \n",
"21948 NaN \n",
"21949 NaN \n",
"21950 NaN \n",
"3569 NaN \n",
"19553 NaN \n",
"\n",
"[26933 rows x 9 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drugFalse_iol"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"set()"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 두 군이 disjoint하게 잘 나뉘어졌는지 확인\n",
"set(drugTrue_iol.PTNO_AN.unique()) & set(drugFalse_iol.PTNO_AN.unique())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 기초통계량"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(829, 2864)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 환자 건수\n",
"drugTrue_exam.PTNO_AN.nunique(), drugFalse_exam.PTNO_AN.nunique()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1483, 8096)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 환자 건수\n",
"drugTrue_iol.PTNO_AN.nunique(), drugFalse_iol.PTNO_AN.nunique()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(7954, 17496)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 검사 건수\n",
"len(drugTrue_exam), len(drugFalse_exam)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(10291, 26933)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 검사 건수\n",
"len(drugTrue_iol), len(drugFalse_iol)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*common functions"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def get_aggdf(drug_group: pd.DataFrame,\n",
" non_drug_group: pd.DataFrame,\n",
" agg_func: str | Callable = \"first\",\n",
" primary_key: str = \"PTNO_AN\",\n",
" target_variable: str = \"SE\",\n",
" date_variable: str = \"LABDT\") -> pd.DataFrame:\n",
" drugTrue_agg = drug_group.groupby(primary_key).agg(agg_func).reset_index()\n",
" drugTrue_aggVAR = drugTrue_agg[target_variable]\n",
" drugTrue_aggDATE = drugTrue_agg[date_variable]\n",
" print(f\"약물사용군 : {drugTrue_aggVAR.mean():2.2f} ±{drugTrue_aggVAR.std():2.2f}\")\n",
"\n",
" drugFalse_agg = non_drug_group.groupby(primary_key).agg(agg_func).reset_index()\n",
" drugFalse_aggVAR = drugFalse_agg[target_variable]\n",
" drugFalse_aggDATE = drugFalse_agg[date_variable]\n",
" print(f\"약물비사용군 : {drugFalse_aggVAR.mean():2.2f} ±{drugFalse_aggVAR.std():2.2f}\")\n",
"\n",
" df = pd.DataFrame({target_variable: drugTrue_aggVAR.tolist() + drugFalse_aggVAR.tolist(),\n",
" \"Date\": drugTrue_aggDATE.tolist() + drugFalse_aggDATE.tolist(),\n",
" \"Drug\": [\"Drug\"] * len(drugTrue_aggVAR) + [\"No Drug\"] * len(drugFalse_aggVAR),\n",
" \"PTNO_AN\": drugTrue_agg.PTNO_AN.tolist() + drugFalse_agg.PTNO_AN.tolist()})\n",
" df[\"Year\"] = df.Date.apply(lambda dt: dt.year)\n",
" df = pd.merge(left=df, right=person[[\"PTNO_AN\", \"AGE\"]], how=\"inner\", on=\"PTNO_AN\")\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"def dist_hue_drug(df: pd.DataFrame,\n",
" target_variable: str = \"SE\",\n",
" bins: str | int = \"auto\",\n",
" title: str = None,\n",
" verbose: bool = True,\n",
" xlim: tuple = None) -> None:\n",
" fig, ax = plt.subplots(figsize=(7, 3))\n",
" sns.histplot(data=df, x=target_variable, kde=True, hue=\"Drug\", bins=bins, ax=ax)\n",
" \n",
" drug_mean = df[df[\"Drug\"] == \"Drug\"][target_variable].mean()\n",
" drug_std = df[df[\"Drug\"] == \"Drug\"][target_variable].std()\n",
" ax.axvline(drug_mean, linestyle=\"--\", color=\"r\")\n",
" \n",
" not_drug_mean = df[df[\"Drug\"] == \"No Drug\"][target_variable].mean()\n",
" not_drug_std = df[df[\"Drug\"] == \"No Drug\"][target_variable].std()\n",
" ax.axvline(not_drug_mean, linestyle=\"--\", color=\"r\")\n",
" if \"Sampled\" in df.Drug.unique():\n",
" sampled_mean = df[df[\"Drug\"] == \"Sampled\"][target_variable].mean()\n",
" sampled_std = df[df[\"Drug\"] == \"Sampled\"][target_variable].std()\n",
" ax.axvline(sampled_mean, linestyle=\"--\", color=\"r\")\n",
" else: \n",
" sampled_mean = None\n",
" if verbose:\n",
" print(f\"약물사용군 : {drug_mean:.2f} ± {drug_std:.3f}\")\n",
" print(f\"약물비사용군 : {not_drug_mean:.2f} ± {not_drug_std:.3f}\")\n",
" if sampled_mean:\n",
" print(f\"매칭후 : {sampled_mean:.2f} ± {sampled_std:.3f}\")\n",
" \n",
" if title:\n",
" ax.set_title(title, size=\"x-large\")\n",
" if target_variable == \"SE\":\n",
" ax.set_xlim(left=-20, right=0.5)\n",
" if xlim is not None:\n",
" ax.set_xlim(*xlim)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"def get_errorbar(mean: list, std: list) -> Dict[str, list]:\n",
" return {\"y1\": [m - s for m, s in zip(mean, std)],\n",
" \"y2\": [m + s for m, s in zip(mean, std)]}\n",
"\n",
"\n",
"def yearly_analysis(df: pd.DataFrame,\n",
" target_variable: str = \"SE\",\n",
" title: str = None) -> None:\n",
" sampled: bool = \"Sampled\" in df.Drug.unique()\n",
" years = sorted(df.Year.unique())\n",
" drugs_mean, drugs_std = [], []\n",
" drugsNo_mean, drugsNo_std = [], []\n",
" if sampled:\n",
" drugsNo_sample_mean, drugsNo_sample_std = [], []\n",
" for year in years:\n",
" _tmp = df[df.Year == year]\n",
" \n",
" _drug = _tmp[_tmp.Drug == \"Drug\"]\n",
" drugs_mean.append(_drug[target_variable].mean())\n",
" drugs_std.append(_drug[target_variable].std())\n",
" \n",
" _Notdrug = _tmp[_tmp.Drug == \"No Drug\"]\n",
" drugsNo_mean.append(_Notdrug[target_variable].mean())\n",
" drugsNo_std.append(_Notdrug[target_variable].std())\n",
" \n",
" if sampled:\n",
" _Sample = _tmp[_tmp.Drug == \"Sampled\"]\n",
" drugsNo_sample_mean.append(_Sample[target_variable].mean())\n",
" drugsNo_sample_std.append(_Sample[target_variable].std())\n",
" _log = f\" | Sampled {_Sample[target_variable].mean():.2f} ± {_Sample[target_variable].std():.3f}\" if sampled else \"\"\n",
" \n",
" log = f\"Year {year} :: Drug: {_drug[target_variable].mean():.2f} ± {_drug[target_variable].std():.3f} | No Drug: {_Notdrug[target_variable].mean():.2f} ± {_Notdrug[target_variable].std():.3f}\"\n",
" log = log + _log\n",
" print(log)\n",
"\n",
" plt.figure(figsize=(7, 3))\n",
" plt.plot(years, drugs_mean, label=\"Drug\")\n",
" plt.fill_between(x=years, **get_errorbar(mean=drugs_mean, std=drugs_std), alpha=0.3)\n",
" plt.hlines(y=df[df[\"Drug\"] == \"Drug\"][target_variable].mean(), xmin=years[0], xmax=years[-1], color=\"r\", linestyle=\"--\")\n",
"\n",
" plt.plot(years, drugsNo_mean, label=\"No Drug\")\n",
" plt.fill_between(x=years, **get_errorbar(mean=drugsNo_mean, std=drugsNo_std), alpha=0.3)\n",
" plt.hlines(y=df[df[\"Drug\"] == \"No Drug\"][target_variable].mean(), xmin=years[0], xmax=years[-1], color=\"r\", linestyle=\"--\")\n",
" \n",
" if sampled:\n",
" plt.plot(years, drugsNo_sample_mean, label=\"No Drug\")\n",
" plt.fill_between(x=years, **get_errorbar(mean=drugsNo_sample_mean, std=drugsNo_sample_mean), alpha=0.3)\n",
" plt.hlines(y=df[df[\"Drug\"] == \"Sampled\"][target_variable].mean(), xmin=years[0], xmax=years[-1], color=\"r\", linestyle=\"--\")\n",
"\n",
" plt.xlabel(\"Years\", size=\"large\")\n",
" plt.ylabel(target_variable, size=\"large\")\n",
" plt.legend()\n",
" if title:\n",
" plt.title(title, size=\"x-large\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## EDGE case 확인\n",
"\n",
"EXAM이 두 번 찍힌 데이터에 대해 추이 확인 후 검증"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PTNO_AN</th>\n",
" <th>LABDT</th>\n",
" <th>SE</th>\n",
" <th>SEQID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: [PTNO_AN, LABDT, SE, SEQID]\n",
"Index: []"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def _list(ser: pd.Series):\n",
" return ser.tolist()\n",
"dups = exam[exam.duplicated(subset=[\"LABDT\", \"PTNO_AN\"], keep=False)].groupby(\"PTNO_AN\").agg({\"LABDT\": _list, \"SE\": _list, \"SEQID\": _list})\n",
"dups = dups.reset_index()\n",
"\n",
"valid_dups = exam[exam.duplicated(subset=[\"LABDT\", \"PTNO_AN\", \"SE\"], keep=False)].groupby(\"PTNO_AN\").agg({\"LABDT\": _list, \"SE\": _list, \"SEQID\": _list})\n",
"valid_dups = valid_dups.reset_index()\n",
"\n",
"dups = dups[~dups.PTNO_AN.isin(valid_dups.PTNO_AN.unique())].reset_index(drop=True)\n",
"dups"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(0, 0)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dups.PTNO_AN.isin(drug.PTNO_AN.unique()).sum(), (~dups.PTNO_AN.isin(drug.PTNO_AN.unique())).sum()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"def plot_dup_ptno(ax, use_latter: bool = True, *args):\n",
" ptno_an, labdt, se, seqid = args\n",
"\n",
" _df = exam[exam.PTNO_AN == ptno_an][[\"LABDT\", \"SE\"]]\n",
" if use_latter is not None:\n",
" _df = _df[~_df.duplicated(subset=\"LABDT\", keep=\"last\" if use_latter else \"first\")]\n",
" \n",
" sns.lineplot(_df, x=\"LABDT\", y=\"SE\", lw=4, ax=ax)\n",
" for _dt, _se, _id in zip(labdt, se, seqid):\n",
" ax.axvline(x=_dt, color=\"r\", linestyle=\"--\")\n",
" ax.scatter(_dt, _se, color=\"green\", s=120, marker=\"o\" if _id == 1 else \"x\")\n",
" ax.tick_params(axis=\"both\", which=\"both\", labelsize=\"x-large\")\n",
" ax.set_title(f\"PTNO_AN={ptno_an}\", size=\"xx-large\")"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 4000x3000 with 16 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=4, ncols=4, figsize=(40, 30))\n",
"fig.suptitle(\"Using SEQID=1\", size=\"xx-large\")\n",
"for idx, val in dups.iterrows():\n",
" r, c = idx // 4, idx % 4\n",
" plot_dup_ptno(axes[r, c], False, *val)\n",
"fig.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4000x3000 with 16 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=4, ncols=4, figsize=(40, 30))\n",
"fig.suptitle(\"Using SEQID=2\", size=\"xx-large\")\n",
"for idx, val in dups.iterrows():\n",
" r, c = idx // 4, idx % 4\n",
" plot_dup_ptno(axes[r, c], True, *val)\n",
"fig.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"set()"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 강제로 일부만 사용\n",
"# Pipeline에 넣을 때는 duplicate을 룰기반으로 처리한 후에 \n",
"EXCLUDE_PTNO_AN = [13295841, 17014592, 34892032, 60932817,\n",
" 20249117, 64222613, 67797096, 82152543]\n",
"\n",
"set(drug.PTNO_AN.unique()) & set(EXCLUDE_PTNO_AN)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 초진/마지막회진 값 비교"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 첫 검사일 비교"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"agg_func = \"first\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### SE"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물사용군 : -2.76 ±2.27\n",
"약물비사용군 : -1.97 ±2.02\n",
"약물사용군 : -2.76 ± 2.268\n",
"약물비사용군 : -1.97 ± 2.021\n",
"Year 2010 :: Drug: -1.92 ± 1.588 | No Drug: -3.45 ± 2.797\n",
"Year 2011 :: Drug: -2.52 ± 2.120 | No Drug: -1.87 ± 2.430\n",
"Year 2012 :: Drug: -2.10 ± 2.141 | No Drug: -1.87 ± 1.965\n",
"Year 2013 :: Drug: -3.16 ± 2.511 | No Drug: -2.51 ± 2.964\n",
"Year 2014 :: Drug: -1.89 ± 1.790 | No Drug: -1.60 ± 1.809\n",
"Year 2015 :: Drug: -2.11 ± 2.708 | No Drug: -1.56 ± 1.998\n",
"Year 2016 :: Drug: -2.25 ± 2.705 | No Drug: -1.31 ± 1.847\n",
"Year 2017 :: Drug: -2.39 ± 2.152 | No Drug: -1.62 ± 1.832\n",
"Year 2018 :: Drug: -2.51 ± 1.990 | No Drug: -1.52 ± 2.004\n",
"Year 2019 :: Drug: -3.10 ± 2.248 | No Drug: -1.76 ± 2.062\n",
"Year 2020 :: Drug: -3.05 ± 1.919 | No Drug: -1.77 ± 1.747\n",
"Year 2021 :: Drug: -3.15 ± 2.548 | No Drug: -2.25 ± 1.807\n",
"Year 2022 :: Drug: -3.72 ± 2.014 | No Drug: -2.74 ± 2.085\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"target_variable = \"SE\"\n",
"seFirst_vals = get_aggdf(drug_group=drugTrue_exam,\n",
" non_drug_group=drugFalse_exam,\n",
" agg_func=agg_func,\n",
" target_variable=target_variable)\n",
"\n",
"dist_hue_drug(seFirst_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Dist.\")\n",
"yearly_analysis(df=seFirst_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Year Trends\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### AL"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물사용군 : 24.22 ±1.31\n",
"약물비사용군 : 23.33 ±1.56\n",
"약물사용군 : 24.22 ± 1.306\n",
"약물비사용군 : 23.32 ± 1.552\n",
"Year 2011 :: Drug: 25.94 ± 3.968 | No Drug: 23.64 ± 1.891\n",
"Year 2012 :: Drug: 23.34 ± 0.999 | No Drug: 23.24 ± 2.013\n",
"Year 2013 :: Drug: 25.95 ± 1.235 | No Drug: 23.92 ± 2.297\n",
"Year 2014 :: Drug: 23.49 ± 1.340 | No Drug: 22.83 ± 1.764\n",
"Year 2015 :: Drug: 24.19 ± 1.876 | No Drug: 22.87 ± 1.837\n",
"Year 2016 :: Drug: 23.55 ± 1.279 | No Drug: 23.04 ± 1.812\n",
"Year 2017 :: Drug: 24.02 ± 1.319 | No Drug: 22.78 ± 1.626\n",
"Year 2018 :: Drug: 24.17 ± 1.265 | No Drug: 22.92 ± 1.640\n",
"Year 2019 :: Drug: 24.32 ± 1.258 | No Drug: 23.07 ± 1.527\n",
"Year 2020 :: Drug: 24.27 ± 1.272 | No Drug: 23.23 ± 1.463\n",
"Year 2021 :: Drug: 24.25 ± 1.128 | No Drug: 23.67 ± 1.313\n",
"Year 2022 :: Drug: 24.14 ± 1.538 | No Drug: 23.97 ± 1.210\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"target_variable = \"AL\"\n",
"alFirst_vals = get_aggdf(drug_group=drugTrue_iol,\n",
" non_drug_group=drugFalse_iol,\n",
" agg_func=agg_func,\n",
" target_variable=target_variable)\n",
"\n",
"dist_hue_drug(alFirst_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Dist.\")\n",
"yearly_analysis(df=alFirst_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Year Trends\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### AGE"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물사용군 : 5.86 ± 2.364\n",
"약물비사용군 : 5.64 ± 2.691\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dist_hue_drug(df=seFirst_vals, target_variable=\"AGE\", title=\"AGE Distribution\", bins=20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 마지막 검사일 비교"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"agg_func = \"last\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### SE"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물사용군 : -5.09 ±2.85\n",
"약물비사용군 : -3.10 ±2.58\n",
"약물사용군 : -5.09 ± 2.847\n",
"약물비사용군 : -3.10 ± 2.585\n",
"Year 2011 :: Drug: nan ± nan | No Drug: -2.22 ± 2.446\n",
"Year 2012 :: Drug: nan ± nan | No Drug: -2.62 ± 2.054\n",
"Year 2013 :: Drug: nan ± nan | No Drug: -3.44 ± 2.432\n",
"Year 2014 :: Drug: nan ± nan | No Drug: -3.05 ± 2.584\n",
"Year 2015 :: Drug: nan ± nan | No Drug: -2.87 ± 2.827\n",
"Year 2016 :: Drug: nan ± nan | No Drug: -3.60 ± 3.341\n",
"Year 2017 :: Drug: -3.38 ± nan | No Drug: -3.36 ± 2.371\n",
"Year 2018 :: Drug: -3.61 ± 3.545 | No Drug: -3.80 ± 3.497\n",
"Year 2019 :: Drug: -4.35 ± 2.592 | No Drug: -3.47 ± 2.945\n",
"Year 2020 :: Drug: -4.63 ± 2.907 | No Drug: -3.03 ± 2.959\n",
"Year 2021 :: Drug: -5.27 ± 2.928 | No Drug: -2.90 ± 2.424\n",
"Year 2022 :: Drug: -5.13 ± 2.823 | No Drug: -3.10 ± 2.526\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"target_variable = \"SE\"\n",
"seLast_vals = get_aggdf(drug_group=drugTrue_exam,\n",
" non_drug_group=drugFalse_exam,\n",
" agg_func=agg_func,\n",
" target_variable=target_variable)\n",
"\n",
"dist_hue_drug(seLast_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Dist.\")\n",
"yearly_analysis(df=seLast_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Year Trends\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### AL"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물사용군 : 25.23 ±1.32\n",
"약물비사용군 : 23.95 ±1.56\n",
"약물사용군 : 25.23 ± 1.325\n",
"약물비사용군 : 23.94 ± 1.548\n",
"Year 2011 :: Drug: 25.20 ± nan | No Drug: 24.98 ± 2.233\n",
"Year 2012 :: Drug: nan ± nan | No Drug: 23.96 ± 1.841\n",
"Year 2013 :: Drug: 32.83 ± nan | No Drug: 24.29 ± 1.946\n",
"Year 2014 :: Drug: nan ± nan | No Drug: 24.41 ± 1.778\n",
"Year 2015 :: Drug: nan ± nan | No Drug: 24.66 ± 1.985\n",
"Year 2016 :: Drug: nan ± nan | No Drug: 24.21 ± 1.869\n",
"Year 2017 :: Drug: nan ± nan | No Drug: 24.06 ± 1.999\n",
"Year 2018 :: Drug: 26.60 ± 1.989 | No Drug: 23.88 ± 1.753\n",
"Year 2019 :: Drug: 25.42 ± 1.103 | No Drug: 23.94 ± 1.809\n",
"Year 2020 :: Drug: 25.13 ± 1.386 | No Drug: 24.20 ± 1.650\n",
"Year 2021 :: Drug: 25.18 ± 1.363 | No Drug: 23.80 ± 1.537\n",
"Year 2022 :: Drug: 25.23 ± 1.298 | No Drug: 23.94 ± 1.468\n"
]
},
{
"data": {
"image/png": 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xEkIIIUSjufzyP9KmTSJz5sw6+vPFvPLK8/z973/l/PNH8uyz/2bVqhUMHz6UVatWlNv3jjtu5Y47bg387PP5eP31/zBu3FhGjz6Lf/xjIt999zXDhw8lI+Ngk76uYJCeNiGEEEI0GovFwpAhaXz//Tx8Pv/yW7NmTWf8+CuZMOF6IiIcgfKTeeaZKSxY8D9uuulWevVKZf7873jmmSmNGX5IkaRNCCGEEI0qISEBn89HQUE+AG3aJHLHHXcHJpo9sYetMgcO7Ofbb+dy++1/549/nADA6aefwZEjR1i2bEnjBR9C5PaoEEIIIZpE2UCErl2713plgFWrVqCU4pxzzitXPmbMBQ0WX6iTnjYhhDiBZrPR+aF/Br4PBaEYkxA1dfjwYSIiIoiNbQVAfHx8rY+Rl+dfvzMurvy+8fH1W88znEjSJoQQJ9B0HUe37sEOo5xQjEmImjAMg9WrV9K//8Aq52or64EzzfJrhZaWluJ0OgFITGwLQG7uEZKSkgN1cnOPNEbYIUlujwohhBCi0cyZM4vs7MOMG3d5lXWioqIAyMo6FCgrKChg9+6dgZ/Lkr6fflpYbt+ffvqhgSMOXdLTJoQQJ1A+H7kL5gEQd975IbH6QCjGJMTxSkqK2bBhPQBKmeTn57F06W98+eVsLrjgd4wcObrKfXv06EXbtkm8997bREVFY7HofPTR+4FeNoAOHToyduwlvPnmq/h8Xnr2TGHRooX88svPAGha8++Hkk+9EEKcQBkG2TOnA9D6nHNDIkEKxZiEON7WrVu47bYbAdB1nbi4ODp37spDDz3KmDEXVruvxWJhypRneOWV53nssYeIi4vnqquuYc+e3ezZsztQ7+67JxEZ6eTTTz+muLiYoUPTuP76m3nvvbeJjHRWfYJmQj71QghRQ06rD7yuCuUWzaykthAtx6uvvlXjujNnflVp+Smn9OX119+tcr+Cgnx+++1XrrvuJiZO/Eeg/P/9v5eJjW0VGOTQnEnSJoQQNeV1kbdyfoXihMHnBCEYIVqWiAgHL730HL16pXLllVfjdDpZv34tM2dO49prbwx2eE1CkjYhhKglZRqo4lxU8RGwOTG97mCHJESzFxERwcsvv8bbb7/Ov//9KKWlLjp06MAdd9zFZZddGezwmoQkbUIIUUPKNPEd3IyZtQNMI1Ce9d8NaLFJWDr2Q7PagxihEM1br16pPPPMS8EOI2ia/1ALIYRoAMpTSv78tzAzt/oTNmsEWuv2EBGF8nkwj+zDt3UxylMa7FCFEM2U9LQJIcRJKFcRJXOfwjyyHzQdS+dB6PEd0TQNpRQx7btwZN5bKFch3q2LsfU8I9ghCyGaoZDqadu1axennnoqs2fPDpRt3ryZCRMmMGjQIEaNGsXUqVPL7WOaJq+88gojRoxg4MCB3HTTTezZs6epQxdCNCOazUbHe++j4733gUWndMH/wzyyH90ZizVlOJaEToEZ3DVNI6JdD2wpIyAiCjwleHf8htnAPW7HxyTLWAnRMoVM0ub1ern33nspKSkJlOXm5nLjjTfStWtXZs2axcSJE3n55ZeZNWtWoM5rr73GtGnTeOKJJ/jss8/QNI1bbrkFj8cTjJchhGgGNF0nsvcpRPY+Bc+yGRgHN4M1gtZj70CPiqt8n4gobCnDwe4EdzGFiz5BKdUoMWm1XGhbCNE8hMwn/z//+U9gGYsy06dPx2638+ijj9KjRw/Gjx/PDTfcwNtvvw2Ax+Ph3XffZeLEiYwcOZLevXvz4osvcujQIebPrzgsXwghasO79Re8G/yrEDjOuQVrfPtq62s2B9ZuQwEN967VeDe1nOV1hBCNLySStuXLl/PZZ5/x9NNPlytfsWIFaWlpWI+b+XvYsGHs2rWLnJwc0tPTKS4uZtiwYYHtsbGx9OnTh+XLlzdZ/EKI5kX5fBR8N4sjM95FmRB56oXEdu1do0l09ah4LB36AuBe8inGkX0NFlPeDwvI+2EByudrkGMKIcJL0AciFBQUMHnyZB5++GHatWtXbltmZiYpKSnlytq2bQvAwYMHyczMBKiwX9u2bcnIyKhXXFZr1fmsxaKX+1f4SbtUTtqlcqHcLobHS+bRWdudneMx9AgKVi8g/tRR6LpWob6mUa5cS+6BxQKevRtwL3qPmMv+WeNbmlW1i2kosj75GID4kSPRq7lGNUeh/H5pCqZZ8X0H/veepmnV/p/VmExTYZoN9xhAQzn6yCmaBg34lEK9WSz1+10FPWl79NFHGTRoEBdffHGFbS6XC7u9/JxHERERALjdbkpL/Q/6VlYnPz+/zjHpukZcXNRJ68XGNv91zupC2qVy0i6VC8V2yV75eeD7mNQ0rJH+646uazicFedhq6zcOfpPZH76OEbWTiw7fqLVab+vVQwntovhsgS+b906EovDUavjNReh+H5pCi6XhexsvcJ/+pqmERvrrPSPiaZgmoqCgtJaPb956aUXkZl5rGPFZrMRH5/AiBFnc8stt9GqVesGiy9UknzT1NB1nVatInHU47Mb1KRtzpw5rFixgq++qnwdMofDUWFAgdvtn3k8MvLYC/d4POUawe1243TW/YPtfxOWVLndYtGJjXVSUFCKYciag2WkXSon7VK5UG0XX+Y28pccS9o8yoav1H8dijQVrtKKg5wqK4+wx+IcdiUlP71PzsJP8Cb1wxKbeNLzV9UupvvYqgt5eSXoEUZluzdbofp+aSoejxvTNDEMhc937PVbrTq6rrFw+R5yC5t2ZY7WMRGMTuuCUuVjqok//nECV189AfD/n71z53Zee+0VVq1ayeuvTyUqKrpesWma/z1jGGZI9LQZhsI0TfLzSygtrfjZjY111ijBDGrSNmvWLHJychg1alS58n/9619MnTqV9u3bk5WVVW5b2c9JSUn4jj7XkZWVRefOncvV6d27d71iq8kb0DDMWr9RWwJpl8pJu1QulNpFeUopnv8GHHeRN00FR2//KEWlt4IqK1dKoaecjWXLrxiZWyn+6QOcF94dmCrkeMcvRK/5NLz5RViVDbfvWO+aeVwb+XwmuiU02qyphdL7pSkZRvWZR26hm5y88JnY2el0kpDQJvBz+/Yd6NkzlWuvvZJPP/2YP//5tnodvyxRC4WE7XgnJt21FdR+w+eee45vvvmGOXPmBL4A7rzzTt566y3S0tJYuXIlhnEsK12yZAndunUjISGB3r17Ex0dzdKlSwPbCwoK2LRpE0OHDm3qlyOECFNOqw+nKsL36/uowsPo0a0b5LiaphNx9g2gWzD2rcO3Z3XlFY8uRJ+3cj75q+ZTuPYH1NEkToiWIjk5mbPPHsX8+d8BMHz4UN566zXGj/89l1xyAXv37ubyyy9m6tQ3y+13xx23MmXKo4Gf09M3c/vttzBy5JlcccUfmDfvW0aOPJ1Vq1Y05ctpFEHtaUtKSqq0PCEhgQ4dOjB+/HjeeecdHnroIf785z+zbt06PvjgAx577DHA/yzbhAkTeO6554iPj6dDhw48++yzJCcnM2bMmKZ8KUKIcOZ1cWTBB/h2+Ued68m9gd8a5NCW1u2xD7gQz5qvcf/6X6wd+6JZIxrk2EI0Nz169OR///smMGfrl1/O5rnnXsHnM+jcuetJ98/OPszf/34bw4eP5P77H2L//gM899yT5Tp/wlnQByJUJyEhgXfeeYcpU6Ywbtw4EhMTmTx5MuPGjQvUufPOO/H5fDz88MO4XC7S0tKYOnVqhcEJQghRFV9+VqAXTE/qhR6d0KDHt596Cd5tS1BFOXjWfE3E0Msa9PhCNBfR0TEAFBcXAXDBBWPp3btPjff/4ovZREfH8MAD/8ThsNOpU1fuvnsy99//j0aJt6mFXNK2ZcuWcj8PGDCAzz77rMr6FouFSZMmMWnSpMYOTQjRDCmfh4IFU8H0oUXFY2nfGxT0uOMWCnasQ2uA0WeaLYKIM67GteD/4Vn7DbaU4eixbWt3DKuV9nfeFfheiOaoqMifrJUNROjYsXN11SvYsiWd1NRTys3vOnDgqQ0XYJCFxlhYIYQIAqUU7l8+wnfkAFgjsHYbiqbpaLpOqwF9ieyS3GBLRlm7DfVPumv4cC+dXuv9NYuF6AGDiB4wCM1iOfkOQoShLVs207FjZyIjI4Fj03xVxzCOTTZtsVhQqvkOVJGkTQjRYnk3LsC75WfQNKxdh6DZG28OME3TiDjjj6Bp+HatwJex5eQ7CdGCZGUdYvHinzj//AurrGO12gK9cQCmaXLw4IHAzz179mLLlvTA7BIAmzZtaJyAg0CSNiFEi+Tbtw73kk8AiEr7A/pxc6gpwyTn16UUpe9FNeCcYJb4TthSRwL+Ja5q0yOgfD7yf/mZ/F9+lmWsRNgrLS0lJyebnJxsDh48wM8//8g990ykXbsO/PGPE6rcb8CAgXz//TzWrFnF3r17eO65J8slcZdddgVFRUU8/fQT7Nq1kxUrlvHCC/4lMiubbifcyIMRQogWx8g9QOmC10EprCkjiBxwLvmrFgS2K9Nk7/ufAhDZo32DPNdWxj50HN4dv2Fm78a3bQm2lLNqtJ8yDA69NxWAmKGnyXNtopzWMU0/Irk+55w27WOmTfMvy+Z0OmnbNomzzz6Hq6++NnBrtDK33no7hYUF3HvvnTgcTi6++FLOPff8wIoMcXHxPP/8K7zyyvNcd93VJCa25dJLL+e1117GZrPVOd5QIZ96IUSLYpYWUPrdS+AtxdIuFceI69G0ppsTTY9shf3Ui/Esm4F75edYe5wu9zxEnZWt/Tk6rUtQz18bM2dWvgrSiRYvrjivWps2bXjyyeer3GfXrp0opXj77Q+xWnV8PpP169cCkJhYu8E/oUiSNiFEi6EML675r6IKD6PFJOIYcweaxVpuBYSmYO93Ht7181CF2Xi3LobeMhm4qJu6rP3Z0OcPpQXjs7OzuPfev3P//Y8wdOhQDh3K4pVXXmDQoMEkJSUHO7x6k6RNCNEiKKVw/fwBRuZWsDlxXngXuiOmyeNwWn2gvDDoPIqWzMK7+gv0lP5NHodoPuqy9mdzlZY2jLvumsTHH7/Ps8/+m6ioaIYPP5u//nVisENrEJK0CSFaBG/6T/i2LgZNw3ne37DEdQhSIP4lq5RpgM2BWZRLyeYlwYlFiGZo3LjLGTfu8sDt0eZEnqQQQjR7Rs4+3L/+FwB72hVYOzV+z5bVasGpiip8WTT/fyKabsGS1AuAojVHkzghhKiG9LQJIZolp9UHXhem103uglfB8GLv3B/7wKrngGpIyusmb9XCCuUJg88JfK+36YJxaBtmST5a7gEsCbWb/V0I0bJI0iaEaJ6O3ob07V2LmX8IbA5iR/4Jt3byGwyaRafbrTdQuGtDg073UeE8ugVLYjeMg5sxD+9Ej+8EVD6XlGa10u62vwW+F0K0PPLJF0I0W2bREczs3QBYuw5Bd0TXaD9N14kbPAhTz23E6Pz8vW3bUSX5qOJciK18sXrNYiFm6GmNHo8QInTJM21CiGZJmQbGXv/8THpCZ/SYNkGOqHKaNQJnjyEAmId3BjkaIUQok6RNCNEslW5YiHIVgMWOpUOfWu2rTJPcFWso3nEAZTb+6LOoviMAMHMPojyllcdkGBSuWEbhimUoQwYtCNESye1RIUSzY5bkU7LyGwAsHfugWWu33I4yTHZNfR+ATjdfhKY37t+3toQOaNEJqKIcfId3QatBFWPy+ch44zUAev6/N9EslkaNSYQPTdOwWoPTB1OXyXUvv/xiTNPko48+Iyqq/CMLU6Y8SkbGQV599a06xZORcZArrrikXFlERATt23fgd7/7PVdeeQ3WMH4mNHwjF0IIjo0SPV7h6s9RPg9aZGv0+GMjMq1WC05f0YmHCEzDEUx6YjeMohyMnH2oHgODHY4IE7qu0SrW0eh/WFRFmSZHcktqnbhlZR3i1Vdf4r77Hm6UuKZMeYZBgwbh9ZqUlBSxcuUK3njjP+zYsZ1HHvm/RjlnU5CkTQgR3o6OEi2jPCV4Ny0CwNL+FDTt2GjMmkzDESx6q2QM3QqeUoyC7GCHI8KErmtouk7O2p/xFeU36bmt0a1IGDgCXddqnbS1b9+Br76aw6hR53L66Wc0eGwxMbEkJLQ5OrluGzp37kp8fDwPPTSZsWMvZsiQtAY/Z1OQZ9qEEM2KkbEVlIm9XU+0mMRgh1Njmm5Bj2sPgCdrT5CjEeHGV5SPt+BIk37VJ0m84IKxDBlyGk8//QTFxRV7v8sUFOTz/PNPc9llFzF69Fn89a83s3bt6jqd8+yzzyEpKZn5878DYNWqFQwfPpT//vcDxo49l5tu+hMHDuxn+PChrFpVfrH64cOH8s03xxa6nzfvO/70p8sZPfpMbrnlOqZP/5Thwxt/DWFJ2oQQzYZyFWHm7AUgZsjYcr1s4UCP7wiAN3sfyvAGORohGtcDDzxCUVER//nPi5VuNwyDu+++g7VrV/Hww4/x7rsf07NnCnfd9TfS0zfV+nyaptG9ew+2bdtarvzXXxfz5pvv8cAD/0SvwW3mX375mSlT/sVFF/2B99//lIsuuoQ33ni11vHUhSRtQohmwzi0DVBosW2xJ3cPdji1pkW3AZsD5fPi3rsx2OEI0aiSk9vxt79NZO7cL1i6tOL6u8uW/caWLZt59NEpDB48lK5du/GPf0yme/eefPLJR3U6Z3R0TIWevauvnkCnTp3p1Su1Rsf49NOPGDXqXK655lo6d+7CpZf61zptCpK0CSGaBeV1YR7ZD4AluWYX31CjaRqWo71tru3LgxyNEI3vD38YX+Vt0p07txMdHU337j0DZZqmMXDgIHbs2Fan8xUXF1UYsdqxY+2Wj9uyJZ1+/QaUKxs48NQ6xVNbkrQJIZoFI2snKBMtKh49Or5ex9J0nS43XE3CqFObfFSeJaETAO49G1CekmMxWSwk3XgzSTfeLNN9iGZD07Qqb5MqpahsWTfTNOs0bYdSiq1bt5CS0rtceURE9VMC+Xy+cj9bLBaUCs6Ic0nahBBhTxm+wHJVlqQe9T6eZtFJOPN0ont3btS1Rys9tzMW3RkLpg/f3nXHyq1WWp01glZnjZC1R0Wz4r9Neidz535RbpBBjx49KSoqZOfO7eXqr1u3hq5du9X6PIsWLSQ7+zDnn39hlXVsNhsARUXHev32799Xrk7Pnr3YuHF9ubJNmzbUOp66kKRNCBH2zJy9YHghIgqtVbtgh1MvmqZhS/CPIvXtqdsoOSHCzaWXjmfo0NM4ePBAoCwtbRg9evTiscceZtWqFezevYvnn3+aHTu2c8UV11R7vMLCAnJyssnOzmbv3t3MmTOLJ598nAsvvIhTTx1S5X4JCW1o374Dn332X3bt2kl6+iaeeWYKdrs9UGfChBv48ccfmDbtY/bv38e3385l5sxp9W+EGpA/14QQYU2ZBkbWDgAsbXs0yIhRZZrkr9tIyZ5MnJ3aNvktUltCe9z70/HtW4cyfGgWK8owKD76131U3/5yi1SUY41uFfbnvP/+R7juuj8eO77Vyksv/T9effUlHnpoMl6vh9TUU3j55dfp169/tcd66KHJge9jY1vRoUNHbrvtdi655LJq99M0jX/+83Fefvk5brrpTyQlJXPzzX/hnXfeCNQZNuxMJk16gA8/fI833/x/pKaewh/+MJ7Zs6fX8ZXXnCRtQoiw5t69FjwlYLGjH30erL6UYbLj1beBplnG6kSWmAR0ZwxmaSFGxhasHfuifD4OvvISIMtYiWNMU6FMk4SBI4JyfmWatZ5Yd+bMryotT05ux7x5P5Uri4uLr9UKBu3atWfxYv8ca1arfnRy3coNHjw0UPd4/foN4O23PyxXNmbMsVuqq1evZMCAQUyf/kWg7MMP3yUxsW2N46wrSdqEEGFLKUXpuu8B/zJQmt48LmmapmHv3B/Xll/x7VmNtWPfYIckQpRpKvILXEcf2g/O+WubtIW7Zct+Y968b3nooUdp374j27dvYfr0T5tk2o/mcYUTQrRIRuZWfIf3gKZjSaz9g8mhzNF1QCBpU2f+KdjhiBCmlKq2R0k0rBtvvIXS0lIef/yf5OXl0rZtEldddQ3XXHNdo59bkjYhRNjyrvMvR6MndEKzVT9sP9zYO6SCxY4qysE8sg8tOinYIQkhALvdzl133ctdd93b5OeW0aNCiLBk5mUERlda2tZ/mo9Qo1ntgduivt0yilQIIUmbECJMedZ9C4C9cz80R0yQo2kcli6DAPDtX199RSFEiyBJmxAi7JjFuXi3/gJA1KDzgxxN47F27AeAmbUD5S4OcjQiFARrwIGon4b6vckzbUKIsONZ/z8wDSzJKdiSusP+HQ16fE3X6XT1eIr3bW3y6T6Op0cnoLduh5mXgZG1jbbXTPDHJ9N9tDiWo79zj8eN3d68nt9sCTweNwAWS/3SLknahBBhRbmL8W7+EQD7oIsa5RyaRafNOSPQV/lOXrmRWTr2w8zLwMzYTOvRNwQ7HBEkum7B6YymqCgXALs9IjCRtGlqGIb0wJ0oFNpFKYXH46aoKBenMxq9nn8EStImhAgrno3fg9eFHt8RS6cBQPO+bWjt2Bfvhvn49m9AKdUgKz6I8BQbGw8QSNzK6LqOacqUHycKpXZxOqMDv7/6kKRNCBE2lKcU74b5gL+XTdM0aIQ/pJWpKNyyDdeBbCLaJaDpwUuULO16g27BLMimeNUS9Kg4nCmpQb1tK4JD0zRatUogJiYOw/D3AlssGq1aRZKfXxL0XqVQEkrtYrFY693DViboSVtOTg5PPfUUP//8M263m7S0NCZPnkzPnj0B2Lx5M1OmTGHDhg20bt2aa6+9lptvvjmwv2mavPrqq8yYMYOCggKGDBnCv/71L7p06RKslySEaCSeDfNRrkK0VklYu5/WaOdRhsG25/8fULaMVfAulZrNgSWpF9796Rx8/S3g6DJWEfJcU0ul6zq67l/A3GrVcTgclJYaMsHucZpruwT9T7W//vWv7Nu3j7fffpuZM2ficDi44YYbKC0tJTc3lxtvvJGuXbsya9YsJk6cyMsvv8ysWbMC+7/22mtMmzaNJ554gs8++wxN07jlllvweDxBfFVCiIamXEV41vqn+YgYMg5NbzkP41uOjiIVQrRsQe1py83NpWPHjvz1r3+lV69eAPztb3/jD3/4A9u2bWPJkiXY7XYeffRRrFYrPXr0YM+ePbz99tuMHz8ej8fDu+++y6RJkxg5ciQAL774IiNGjGD+/PlcdFHjPKQshGh6nrXfgLcUPb4T1h6N18sWKqxWHae3yP99h+64ghyPECL4gtrTFhcXxwsvvBBI2LKzs5k6dSrJycn07NmTFStWkJaWhtV6LLccNmwYu3btIicnh/T0dIqLixk2bFhge2xsLH369GH58uVN/nqEEI3DLMnDs2EBABFp49G0oN8kaHTK6yZv5XzyVs6naE86WGzBDkkIEWRBf6atzCOPPML06dOx2+28/vrrREZGkpmZSUpKSrl6bdu2BeDgwYNkZmYC0K5duwp1MjIymiZwIUS9RGhebKq0fKHNQanv2OXJvWwmGB70pJ5YOg9s4giDT9M0tOh44FCwQxFCBFHIJG3XX389V111FZ9++im33347n3zyCS6XC7vdXq5exNGHb91uN6Wl/gt9ZXXy8/PrFY/VWvVf8haLXu5f4SftUjlpl8oF2sPnomD1gnLbWg0eg9Xq/1z7Mrfh27oYgKizrsFqK/8sm+bT0CsZ3alpVCivrKzS8uO+1/Vjx6/x/vWoq51w7jKWmDaUJW1Wq45ezTWqOZLPUeWkXSrXXNslZJK2stGijz/+OGvWrOHjjz/G4XBUGFDgdvtnFY6MjMThcADg8XgC35fVcTqddY5F1zXi4qJOWi82tu7naM6kXSon7VI5m82Cw1n+Dy+73UJUqyiUaXBg1scAxAwcTXy3npjuknJ1lYUK+4P/c3xieWVllZWbxyVEDqcd3Wat1f4NUffEMkubZGAjAK1ibFijTn6Nao7kc1Q5aZfKNbd2CWrSlpOTw5IlS/jd734XWKJD13V69OhBVlYWycnJZGVlldun7OekpCR8Pl+grHPnzuXq9O7du85xmaaioKCkyu0Wi05srJOCglIMo/kMJa4vaZfKSbtUrqxdvF4DV2n5P84iPAZFucW4NizAc2gXWkQk+uDLcBUWkr9qfrm68aeOqrA/QKSpKpRXVlZZuTJMOlx+CSUHduB2+9COThlQ0/3rU1fTNSIibJgn1DMtkcR0sYBpcGTHFmydTqlw7OZMPkeVk3apXLi1S2yss0a9gkFN2rKysrjnnntISEjgjDPOAMDr9bJp0yZGjx5NmzZtmDZtGoZhBJK6JUuW0K1bNxISEoiJiSE6OpqlS5cGkraCggI2bdrEhAkT6hVbTeZ1MQyzWc3/0lCkXSon7VI5pfx/KJUvU3gK8yj9bSYA9qGXYdqiUaqokroV96/6uDWsq2kknX8OOas0FP7JdhvtXCeUHX/ZLldP14lJTULlHcSTsQWtXWqFY7cE8jmqnLRL5ZpbuwT1Zm/v3r0ZPnw4jz32GCtWrGDr1q3cd999FBQUcMMNNzB+/HiKiop46KGH2L59O7Nnz+aDDz7gL3/5C+B/lm3ChAk899xzfP/996Snp3P33XeTnJzMmDFjgvnShBD15Fk2Ezwl6AmdsZ0yOtjhhAQ9JgEAIyM9yJEIIYIhqD1tmqbx0ksv8fzzz3PXXXdRWFjI0KFD+e9//0v79u0BeOedd5gyZQrjxo0jMTGRyZMnM27cuMAx7rzzTnw+Hw8//DAul4u0tDSmTp1aYXCCECJ8eA/twrtlEQCOs65t8iWblKko3r0Xd1Yu9jatg7qM1fExeV12fEVgy9iGMrxoMg2IEC1K0AcixMTE8Oijj/Loo49Wun3AgAF89tlnVe5vsViYNGkSkyZNaqQIhRBNSSlF0a/TAXD0Op3opHag/JPMWrSmuc2hDIMt/34BCP4yVmWUYXDo65UAJA3xYmTtxNpCb5EK0VIF/0okhBDHMXP2YGTvA4sVw9GavJXHBh4kDD4niJGFFiMjXZI2IVqY5jWBiRAirCnDi3FwMwCWdr3RbI6T7NFyGQfluTYhWhpJ2oQQIcPI3Ao+D5ZWieiJ3YIdTkgzDm1H+SpOKSKEaL7qlLQtX76c4uLiSrcVFBTw9ddf1ysoIUTLo9zFmFk7AYg9/dIWsb5oXWnOWDD8z7UJIVqOOl0Vr7vuOnbs2FHptk2bNvHAAw/UKyghRMvjO7AJlIkWk0hEpz7BDiekWdr512Quu5UshGgZajwQ4b777gsswq6U4tFHHyU6OrpCvd27d9OmTZuGi1AI0eyZJfmovIMAWDr2Q9OCP8VGKHMmd6V4zwpUxkacagzYHJT6ZFyZEM1djXvaLrjgApRSKHVshu6yn8u+dF1n0KBBPPnkk40SrBCieTIytwCgx3VAd8YGORrQdJ3k319AqyGpTT5HXFU0XafVkFSSf38B7rwcALyZO8ld/h14XUGOTgjRFGr8p9no0aMZPdo/K/m1117Lo48+So8ePRotMCFEy+A9cgCV5+/F15NTghyNn2bRaX/J78hZtTDYoQRoFp3Wab1JGHwO2St/AJsDvC5U8ZFghyaEaCJ16k//6KOPGjoOIUQLVbzqOwD01u1DopctHGiahh7dBjN3P2ZhdrDDEUI0kTolbaWlpbzxxhssXLiQ0tJSTLP8LOWaprFgwYIGCVAI0Xx5svfj3rkaAD2EJopVSlF6MAPPkQJscTEh8YydUgpvbiGlBzNQSqHFtIHc/aiinGCHJoRoInVK2qZMmcKsWbM47bTTOOWUU9BD5JkPIUR4yV/6FaDQWiWHVC+b8hlsfvRp4OgyVrbgP+SvfAYZ0xeSwUI63XwRenQCBqCKj/jna5NlSIVo9up0JZo3bx533303t956a0PHI4RoIUxXIUUb/IvCW5J6BjmaMBQRFXiuzXtoJ3SMD3ZEQohGVqcuMp/Px4ABAxo6FiFEC+LZ9BPK58Ga0AktShKO2tI0DT3GP72S5+DWIEcjhGgKdUrahg8fzqJFixo6FiFEC6FMA9cG/3Ovkf1GhsQzY+FICyRt24IciRCiKdTp9ujYsWP517/+xZEjRxg4cCBOp7NCnUsvvbS+sQkhminf7lWooiPokbE4egzFtSZ0ptYIJ3p0IgbgO7wH5SlFs1e8Fgshmo86JW133XUXAHPmzGHOnDkVtmuaJkmbEKJK3o3+XrbYU89Hs8oT9HWlRUSCPRI8JRiZ27B2lsdWhGjO6pS0ff/99w0dhxCihTByD2JkbAFNJ3bw+bjd3mCHFNb0mDaYOXvxHdwsSZsQzVydkrYOHTo0dBxCiBbCm/4TALYuA7HGJuA+nBnkiCrSdJ2255+D69C+kFrGKnZgTxxJncrFpEW3gZy9GBnpQYxOCNEU6pS0vfrqqyetc8cdd9Tl0EKIZkwZXnxbfwHA3mdUcIOphmbR6Xj5H0JuGau4M/qSMPiccnHpMW0wADN7N8pTgmaPDF6QQohG1eBJW3R0NG3btpWkTQhRgW/3KpS7CC0qDpvcymsQmt2JJTYRo+AwRsYWrF1ODXZIQohGUqekLT29Yjd8SUkJK1eu5NFHH+WRRx6pd2BCiOYncGs0dQSabglyNFVTSuHOzsFXUIIlxhkSU5IopTAKS3Fn5/iXsTouJlv7FIyCw/gObJakTYhmrMEe1oiMjGTEiBHcfvvtPPPMMw11WCFEM2EWZGEc2ARoxKQMxe4rxJt/GItmnnTfpqZ8BhsffJwDn8xH+YxghwP4YzrwyXw2Pvh4hZjs7XsBYGRsDkZoQogm0uAL6rVr144dO3Y09GGFEGHOu+VnwD8hbOHWlei6hsNpJ7L3mUGOLPzZ2qUAYObsQ7mK0BzRQY5ICNEYGqynTSnFwYMHefvtt2V0qRCiHKVMvEcHIOgJnYMcTfMTERuHpXUyAPrBNThVkf/L6gtyZEKIhlSnnrbevXtX+YyHUkpujwohyjEOpqOKj6DZneit2wU7nGZHed0om381hKK13+M6chiA1kPGgCa9bkI0F3VK2m6//fZKk7bo6GhGjRpF165d6xuXEKIZKbs16ugxBCOEByCEMz26DebhXajC7GCHIoRoJHVK2iZOnNjQcQghminlKcG3ayUAjpRhFO+Txc0bgxaTAIByFaK8LjSbI8gRCSEaWp0HIng8HmbPns3SpUspKCggLi6OoUOHMm7cOCIiIhoyRiFEGPPuXA6GB711e6yJXUCStkahWSPQnLGo0gLMwhws8fJssRDNTZ2StoKCAq677jrS09Np3749iYmJ7Nq1i7lz5/Lf//6XTz75hJiYmIaOVQgRgpxWH3hd5QttDkp9/stL2a1Ra8rwkJjvrCY0XaPNqOG4Du9H00MjZk3XiO7bFUdixypj0qLboEoLUEXZIEmbEM1OnZK2559/nszMTD7++GOGDh0aKF+xYgV33nknL7/8Mg8//HCDBSmECGFeF3kr55crKnsA3szLxDy0HTQNW0r4TO2hWSx0vubyEFvGykLCiIEVlrE6nh7TBvPwTszCw00cnRCiKdRpyo/vv/+eu+66q1zCBjB06FDuvPNO5s2b1yDBCSHCm3frYgAsHfujR7YObjAtgBbdxv+NuxjlKQluMEKIBlenpK24uJhOnTpVuq1Tp07k5eXVJyYhRDOgTBPvNv/cbLbU4UGOpnaUUngLizBK3Silgh0OcHQZq1I33sKiKmPSrDa0qDjAvwKFEKJ5qVPS1r17dxYurLx7/vvvv6dLly71CkoIEf6Mg5tQxbkQERV262Eqn8H6ex5m/wffhdQyVvs/+I719zxcbUx6bBIgSZsQzVGdnmm7+eab+cc//oHH4+Hiiy+mTZs2ZGdn89VXXzFjxgweffTRBg5TCBFuygYg2HoMQ7PYghxNy6HFJkJGOqrwMMo0QKbFE6LZqFPSNnbsWHbv3s0bb7zBjBkzAuU2m43bb7+dq666qsECFEKEH9Ndgm+3f262cLs1Gu60yDiw2MDw4s3aDe0GBjskIUQDqVPSVlJSwt/+9jcmTJjAmjVryM/PJyMjg6uuuopWrVo1dIxCiDDj3rkKDB96XEf0Nl2DHU6LomkaemxbzNwDePZvxiJJmxDNRq2eadu8eTOXXnop77//PgCxsbGcffbZnH322bz00ktcc8017NixozHiFEKEkdKtvwFgSz0rbOZma0602LYAePZvDnIkQoiGVOOkbd++fdxwww3k5+fTs2fPctvsdjsPPvggxcXFXHPNNWRmZtY4gLy8PP75z39y9tlnM3jwYK6++mpWrFgR2L5582YmTJjAoEGDGDVqFFOnTi23v2mavPLKK4wYMYKBAwdy0003sWfPnhqfXwjRsFRpIb6s3aDpWHueEexwWiQ9JhEA3+G9mK7CIEcjhGgoNU7a3nrrLeLi4vj88885//zzy21zOp1MmDCBWbNmERkZyRtvvFHjAP7xj3+wdu1aXnjhBWbOnEnfvn25+eab2bFjB7m5udx444107dqVWbNmMXHiRF5++WVmzZoV2P+1115j2rRpPPHEE3z22WdomsYtt9yCx+OpcQxCiIZjHNkLgKXTAJmbLUg0uxPNGQsojP0bgx2OEKKB1PiZtiVLlnDbbbfRunXrKuskJCRw44038t///rdGx9yzZw+//PILn376KYMHDwbgoYceYtGiRcydOxeHw4HdbufRRx/FarXSo0cP9uzZw9tvv8348ePxeDy8++67TJo0iZEjRwLw4osvMmLECObPn89FF11U05cnhGgASpmYR/YB4T0AQdM14s9Iw52TGVLLWEWldCIiIblGMWmxbVGlBfj2rsHWc1gTRCiEaGw17mk7fPhwjeZfS0lJqfHt0bi4ON566y369esXKNM0DaUU+fn5rFixgrS0NKzWY7nlsGHD2LVrFzk5OaSnp1NcXMywYccuSLGxsfTp04fly5fX9KUJIRqIKjgMXjdaRBTWzoOCHU6daRYLXW/8E21GD0azhMacGZrFQpvRg+l6459qFJPeKhkA3951KNPX2OEJIZpAjXva4uPjyco6+WSNR44cqbY37nixsbGBHrIy3377LXv37mX48OG8+OKLpKSklNvetq3/AduDBw8GksN27dpVqJORkVGjGKpitVadz1oserl/hZ+0S+Wae7toPg39aM+P72gvm6NXGrYIe7V1j+8t0k/oOdK0imVVlTdl3aY4V3XtUqtYYxIwHNEoVxFkbcfasU+FY4WT5v45qitpl8o113apcdKWlpbG7NmzT3rLcc6cOZxyyil1CmblypU8+OCDnHvuuYwePZonn3wSu738hT8iIgIAt9tNaWkpQKV18vPz6xQD+C9+cXFRJ60XG+us8zmaM2mXyjXXdvHml+Bw2jG9blx5/j+WYvueSVQln6GyusfTda1GZU1ZVymF8nqwW3U0qyUwArYp46o0Jp+B8nqIcNjKjcqt6lzWbgMo3vwresY64vqnVdgejprr56i+pF0q19zapcZJ27XXXsvVV1/NU089xd133x1Insp4PB5efPFFfv75Z956661aB7JgwQLuvfdeBg4cyAsvvACAw+GoMKDA7XYDEBkZicPhCJy77PuyOk5n3X9RpqkoKKh6sWWLRSc21klBQSmGYdb5PM2NtEvlmnu72H0GrlIPvqxdoEz/A/CtOpCbW1xlXfD3KEVE2DBNFSgrE1lJWVXljVHX9PpI/9tkALrc8nt0m7XJ4qqqXUyvjz1vzwVml4upunNFdOoHm3+lKH0Z+tCrwnr6leb+OaoraZfKhVu7xMY6a9QrWOOkrX///jzwwAP8+9//5osvvuCMM86gY8eOGIbBwYMHWbp0Kbm5ufz9739nxIgRtQr2448/ZsqUKYwZM4bnnnsu0HOWnJxc4ZZs2c9JSUn4fL5AWefOncvV6d27d61iOJHPd/JfsmGYNarX0ki7VK65totNKUxTYWT7R43qCZ2xWHRs3oIKdXXNxDT9i50ff3kqKyujVMWyqsobo26F74/+3BRxVdUuVcVU3bnsHXqDxY5ZmI0naw+WhM4V6oSb5vo5qi9pl8o1t3ap1YoIf/rTn+jduzdTp07l+++/D/R6RUVFMXz4cG666SYGDqzd7NuffPIJjz/+ONdeey0PPvggun7skpWWlsa0adMwDAPL0QdvlyxZQrdu3UhISCAmJobo6GiWLl0aSNoKCgrYtGkTEyZMqFUcQoi6M0sLUCV5gIYe1xHldZO3amGFegmDz2ny2FoyzWrH2rEvvj2r8e1e3SySNiFaslovYzVkyBCGDBkCQG5uLrqu13npql27dvHvf/+bMWPG8Je//IWcnJzANofDwfjx43nnnXd46KGH+POf/8y6dev44IMPeOyxxwD/s2wTJkzgueeeIz4+ng4dOvDss8+SnJzMmDFj6hSTEKL2zBz/AAStVRKaLeIktUVTsnQZ5E/a9qwiYsgfgh2OEKIe6rT2aJm4uLh6nfx///sfXq+X+fPnM3/+/HLbxo0bx1NPPcU777zDlClTGDduHImJiUyePJlx48YF6t155534fD4efvhhXC4XaWlpTJ06tcLgBCFE41CmEZibTXpyQo+1y6m4tfcxs/dgFmShH13iSggRfuqVtNXXbbfdxm233VZtnQEDBvDZZ59Vud1isTBp0iQmTZrU0OEJIWrAs28T+NxgtaO1Sgp2OOIEujMWS/tTMA5swrtjGRGn/j7YIQkh6qh5TWAihGhyrqOLw+vxndA0uaSEImuP0wHw7Vwa5EiEEPUhV1ghRJ2ZpQW496wH/KNGmwtN02g9eCCR3duHzDQZmqYR2b09rQcPrHVMtq5DQLNg5uzDyD3YSBEKIRqbJG1CiDrzbVvin5stsjW6MzbY4TQYzWqh+203knh+Gpo1RJaxslpIPD+N7rfdWOOYrFYLTlVEZATYOx6dBmnXkkaMUgjRmIL6TJsQInwppfBuWQQ0r1625uT4qVcM/ehqMtuX4Tz1spDpQRRC1Jz0tAkh6sQ8vAsz9wBYbOhxHYMdjjgJvXUyaDpG3qHAaF8hRHiRpE0IUSferYsBiOg6EM1qC3I0Dcv0+lh1613seeMLTK8v2OEAR5exeuMLVt16V51i0iy2wOhe77ZfGzo8IUQTkKRNCFFryufBu93/bJQz9YwgRyNqyhLfCQDftl9RZmgko0KImpOkTQhRa77dK8FTihadgK19r2CHI2pIa5WE5oxBlRZg7F0f7HCEELUkSZsQota8W/y3Rm2pI2RutjCiaTrOXqcBBAaRCCHCh1xthRC1YhYexjiwCQBbyllBjkbUliNlGAC+veswS/KDHI0QojYkaRNC1Ip36y+AwtKhD3pMYrDDEbVkjWuH3rY7KAPfdhmQIEQ4kaRNCFFjSpmBUaO21BFBjkbUlS3F/7vzbvkZpVSQoxFC1JQkbUKIGjMObEIVZoPdibXrkGCH02g0TSO2Xx+cnZNCZhJaTdNwdk4itl+fesdk63k6WCMwcw9iZGxpoAiFEI1NkjYhRI15N34PgC1lOJrVHuRoGo9mtdDzzltpO3ZYSC1j1XbsMHreeWu9Y9Lskdh6+adq8W5c0BDhCSGagCRtQogaMQuz8e1dA4C9z+jgBiPqzdb3XAB8u1dhFucGORohRE1I0iaEqBHv5h9BHR2A0LpdsMMR9WSJ74QlOQWU6f/dCiFCniRtQoiTUoYXb/pPANj6nBvkaBqf6fWx5o7J7H1nbkgtY7X3nbmsuWNyvWKyWi04VRFOVURUH/+ULb7NC3ForoYKVQjRSKzBDkAIEfp8O5ejXIVoUfFYuwwKdjhNwvR4gh1CBcpnoDDqdwyvm7xVC/3fm6Z/QEJpAe6tv0GvUQ0QpRCisUhPmxCiWkopPOvnAWA7ZRSaHhoP5ov603QdS2I3AErWfy/TfwgR4iRpE0JUyzi4GTN7N1js2PqcE+xwRAPTE7uCpuPL3oeRkR7scIQQ1ZCkTQhRLc/abwCw9R6B7ogJcjSioWnWCPSEzgB41n0X5GiEENWRpE0IUSUjZy/G/g2gadj7XxjscEQjsbTtAWgYe9di5B4IdjhCiCpI0iaEqJJn7bcAWLufhh4r64w2V5ojmoiuAwDwSm+bECFLkjYhRKXMgix8O5YCYB84NsjRNDFNIzqlBxHtEiBElrFC04hol0B0So9GiSlygH8qF++2XzGLchr8+EKI+pOkTQhRKfeqL0CZWDr1x9KmC06rLzC/1/FfFs0MdqgNTrdaSLl3Isl/GI4eIstY6VYLyX8YTsq9ExslJltSdyztUsE0As8xCiFCi8zTJoSowMzLwLftVwAihozzF3pd5K2cX6FuwmAZUdocWK0WYk49n7yMLXjTfyJ20GgsrZIo9cl/E0KECulpE0JU4F45B5TC2uVULG27Bzsc0QSU101xxh60qDgwfOTOfxe8skqCEKFEkjYhRDnGkf34diwDIGbIBc36NmhVTK+Pdf94iH3vfxtSy1jte/9b1v3joUaLSdM0LMmp/vNl78YsLWyU8wgh6kaSNiFasMqeU/Mt/wxQ6K3bU7x7M3kr5/tvi5otJ2kD8BUVY7pCaykr0+XBV1TcqOfQYtuiRbYG06B4bcXb4UKI4JGHFYRoyU54Ts0szMa3Zz1oOpb2vYMYmAgWTdOwtD8F3/YllG5cRFT/i9CjE4IdlhAC6WkTQhyllPJPpAtEnnImmqx+0GJpMYlo0W3A9OFeMSfY4QghjpKkTQgBgHlkH6o0H3Qr0afK6gctmaZpWDqcAoBv22JZJUGIECFJmxACZfgwDm4GwJKcgsUZHeSIRLDpUfFEdB0ISuFZPivY4QghkKRNCAEYmVv90zvYI9Flig9xVNTQi0HT8O1ehXFoe7DDEaLFk6RNiBZOuQoxs/z/IVs79kPTQ2MFgKDSNCK7dMKe2DqklrGyJ7YmskunJovJGpeMLWU4AO5lM1BKNcl5hRCVk6RNiBZMKYVv33pQCi02Ca1VcrBDCgm61ULvh+6h3fiRIbWMVbvxI+n90D1NGpN9yKVgsWJkbMHYt77JziuEqCikkrbXXnuNa6+9tlzZ5s2bmTBhAoMGDWLUqFFMnTq13HbTNHnllVcYMWIEAwcO5KabbmLPnj1NGbYQYcu9azWq8DBoOtZO/dFCpVdJhAw9OgFb3/MAcC+fgVIta74+IUJJyCRt77//Pq+88kq5stzcXG688Ua6du3KrFmzmDhxIi+//DKzZh17KPa1115j2rRpPPHEE3z22WdomsYtt9yCxxNak2IKEWqUq4iiX2cAoCf1RIuICnJEItRYrRacqohWA0eh2RyYOfvQdv4S7LCEaLGCnrQdOnSIP//5z7z88st069at3Lbp06djt9t59NFH6dGjB+PHj+eGG27g7bffBsDj8fDuu+8yceJERo4cSe/evXnxxRc5dOgQ8+fLTN5CVMf163/9yxQ5orEkpwQ7nJBien1seOAx9n88L6SWsdr/8Tw2PPBYk8WkvG7yVs6nYOMS9ET/9bn4t1kor7tJzi+EKC/oSdvGjRtp1aoVX375JQMHDiy3bcWKFaSlpWG1Hlu4YdiwYezatYucnBzS09MpLi5m2LBhge2xsbH06dOH5cuXN9lrECLc+Paswbd9CWga1i6nyuCDSnhycjGKSoMdRjlGUSmenNygnFtv2wPsTsziPDxrvwlKDEK0dEFfxmr06NGMHj260m2ZmZmkpJTvAWjbti0ABw8eJDMzE4B27dpVqJORkdEI0QoR/kxXIa6f3wfA2e8cDJusfCBOTtMtWDr0xdi1As/ab7H1HokeHR/ssIRoUYKetFXH5XJht9vLlUVERADgdrspLfX/FVxZnfz8/Hqd22qtuhPSYtHL/Sv8pF0qF0rtopRJ6Y/voEry0FsnE5N2MQXrfqpQT9NA17WTltWnrnbc9sY+V63rnhBbIOZGistjjcLsOhQAE40SiwbW1phdh6KUwu1VFBaUAl/763QZDMdd9zzWqCZpLy2+A3rJEbyHduJdMYuo8/5S4TiNJZQ+R6FE2qVyzbVdQjppczgcFQYUuN3+ZykiIyNxOByA/9m2su/L6jidzjqfV9c14uJO/lB2bGzdz9GcSbtULhTaJW/JHHx716JZbLS7fBK6w4nDaa9QT9e1CuWVlTVW3aY8V2Xl5nF/tDmcdnSbtVHjcnkV83/2r0ihFOS5IKaji6VrdpFbquFTGjbTyz1H60/+cButoq0kRSmSoxVXXJbUZO1lP/tKsmY8hWfrL7Q582IcHXpVOFZjCoXPUSiSdqlcc2uXkE7akpOTycrKKldW9nNSUhI+ny9Q1rlz53J1evfuXefzmqaioKCkyu0Wi05srJOCglIMQ4a/l5F2qVyotIsvYwuFP34CgHP4BErsidg9hbhKK460jjRVhfLKyupTV9M1IiJsmE1wrtrWPf5Bf1epB91nNmpcOopil8HeAgv7i3SKvTrs3cPxjx3r2rGJbX2mRmaRTmYRrDukyP96C2Na+egYU/791RjtFRHXCXvKWXi2/sKh76YSM+7hJpkqJlQ+R6FG2qVy4dYusbHOGvUKhnTSlpaWxrRp0zAMA4vF/6D0kiVL6NatGwkJCcTExBAdHc3SpUsDSVtBQQGbNm1iwoQJ9Tq3z3fyX7JhmDWq19JIu1QumO1iHNlPydcvgmlg7XE6esrZ+HwmNqUwzYqz3CtFhfLKyupT9/jLU2Ofq7Z1K3x/9OfGOFdmsc4P/9vOL3vtmMqf/Fg0xcBeiXhyMoh3mDitCqvpgx3+fYa183DIA1klFvLcOr9tOsxvRHNasofLerloFeE/vssShbfTkHLnd1mi6vUalFLYho7Hs2M5RuY2XFuXYutxWoXjNRa5vlRO2qVyza1dQjppGz9+PO+88w4PPfQQf/7zn1m3bh0ffPABjz32GOB/lm3ChAk899xzxMfH06FDB5599lmSk5MZM2ZMkKMXIjSYhdmUfvMceErQk3riGHmTTKJbA452yRiu4kY7fmaxzre7IlieaUNxCNBoHWHSJdagY2uNiy7pw9ez9gfqawpcUbHExEbTKkIRG2nQq7VBnlvD06oTKzZnsSzTzrocB5cMTWDEKa0o9ul8+0P5VQwuHd+23rHr0fHYB43Fs3IO7qWfYe0yCM1a8ZarEKJhhXTSlpCQwDvvvMOUKVMYN24ciYmJTJ48mXHjxgXq3Hnnnfh8Ph5++GFcLhdpaWlMnTq1wuAEIVois7SAkm+e8w88iOtA5AV3oVkjgh1WyNNtVvo8dj85qxbWqL7bGoXRZWiFssoUlHj5ZLODxQfsKPzJ88AecUSWZBIXodB1DWslU7Aoi5VtZ17IRZedz6rZ8wLlrSMUF43tjT1/HxuybeR7YPqSwyxck8m9N7Sp6UuuMavVgtNXhKP/CHLSf8QsykGt/4rItD9Q6gvp/1KECHsh9Ql76qmnKpQNGDCAzz77rMp9LBYLkyZNYtKkSY0ZmhBhR3lKKf3uRVR+Jlp0As6x96I5ooMdVrPk8pgn7dHymfDjPjvf/LyJUrc/ce7XOYqLTo2nW2p3vppRv2mKWkcozmrvYXeBhfRcK4dLLUz5YCV9YjUSnA230Lvyusk7msxqbbpD8SqKV36DI+UMiGrfYOcRQlTUvMbCCiEAcGiluOe9hHl4F5ojmrjf/Y2oVjIfWzAoBWuzrPzfkmhmbXNS6jaItZsMS3bTxZLDhnXbMI2GSao0Dbq1Mhje3kO0zaSgxMvSTDt7Chpn8mQ9viNaZGswDYpXfNUo5xBCHBNSPW1CiPpTpknB92/hPbgFdAuWLoMp2rGONm3a41SucnUtWvN5QLchmV4fm/71FIarmOTLzg5M+VFbBW6NT9OdrDlsAyDWbnLZ6BSy0jdQ28cKNcNHz6ULyNiwGO2UYShL1THF2BXD23vIcXZiefphNuTYKPBo9E1o2OWvNE3D0rEfvq2LcW35DWffkdgSOh6rYHPILVMhGpB8moQIY06rD7zHEjGlFEW/TMe9a7V/iarup6FHxfm3HXdbq0zC4HOaNN5w4srIrNf+K7dm89Fv0RR7dXRNMaaLmwu7uonul8ScLRvqdExHcQHe4gI45eR1LTrcMLY3hYcOkp5rZW+hlSKvzpgSLw05c5UenYAe1wEz9wB5897B2uvMwECX1kPGgCa35IVoKJK0CRHOvC7yVs4P/GhkpGNkbAE0LF2HoMfWf6SgqB1TweYjVr7+cgug0zHa4Pq+JRXmUGsKmqbRo7VBtF2xJsvGEZfOlI/XctspeoPGY2nfB7PgEKoo2/8MZet2J99JCFFr8kybEM2EkXvgaMIGsWeOxxLXIcgRtTwuHyzJsLO7wP/38PldXNx3WlFQErbjJUWanNneQ6TVJKfAzbPLo1l1qOH+ZtciIonqNwoA34GNKFNuuwvRGKSnTYhmwCzJx9izGgC9bU+i+gzHVcPpKkTDyHNrrDhkx21o2HTFX8cPICXWf+vaOK6epgfnshtj948uPaAls2lPHm+vj+J3RS5+391NJUuR1lr0wPMo3vgzuIsxD+/EktSz/gcVQpQjSZsQYU75PPh2LgPTQItJxNKhT7BDanFWbcthSYZ/RYNom0lakpfeneP4+rj51MpcdFnwbh3aLXDnuD7MnLmQBXsj+HaXgwOFFm7oV/WyfTWl2x1Y2p+CsXcNRuYW9PhODRCxEOJ4krQJEcaUUvj2rgFPCdgjsXYbKqsdNLHFB2x8kp6OUhqJToNT23qxhfCDJxZdY3yKi44xBh9vdrIu28Yzy6O5qxdE13CC4KroCZ0xD+9CleZjZGwGft+AkQshJGkTIoy5ty9H5WUAGtbuabKUUAOyJ8RhuF1VblcK5u2JYM52BwCdYnz0S/A1yK3GqngckTgjG2bs5+ntvCRFmry5LpLMYgv/fG8Nqa3cdIoxAtOR1HbJK03TsHTqj2/rYszsPXgP74W20vMrREMJ4b8HhRDVMYtyKPx1BgCWdqnoka2DG1Azotus9HvyX3SccH6lc7SZCmZtcwQStrGnd6R/IydsymJly4jf02HK09XO0VYbXVsZPHBaEX0SvHh8JutzbKzMsuGqx3Ru/ilA/HO1Ff46A6UabjUGIVo6SdqECENKKVw/vYvylKJFxqEn9wp2SC2GYcKHm5x8v9e/FNXlvUoZN6JLrSfLDRWxEYrbB5VwxciuaCgOlVj46UAEewstmHVMuCwd+oBuwZe1C9+2Xxs4YiFaLknahAhDvh1LMQ5sBIsNa9fBaJp8lJuCy2Pw5rpIlmbY0TXF9X1KOLeLJ9hh1ZuuwflpHRjewUMru4nP1FifbeOZT9ezr7D27y3N7sSSnAKAe+lnKFdRQ4csRIskz7QJEWaUpwT3kk8BiBp0AV7VOOtKtmSmzyB9yvP4SgpJ+sNwdKuFQo/GC59tY1u2DZuu+HP/EgYkNuyyUNXRDB/dVywkc+sytB6D63yLVLfZMU4YcAD+qUhij04LsqvAwtZcKzsOFvLkwWjO7ujh4h4uomy1OE/bnlCSi5GXiXvZDBxn31ineIUQx0jSJkSYca/4HFWaj9YqiciB55K/5sdgh9T8KEXJnn2B7w+XaLy6JoqskhIiI3RuG9Oe7knOwPxrTTX3WmRBLp6CXOgxuM7HcHsMvv1hfYXysqlINA26tzJoF2VQGNmR5Vuy+Wl/BCsP2RjX08VFp9bslqmm68QM/yN5c1/Cm/4T1pSzsB7tfRNC1I0kbUKEESN7D96NCwBwnHUtmqUWXR+iTvYV6ry2IZoCj05CbAT9YgrYsnE7WzYeqxPMudcai9MKV1+cyplRu/lsi5PMYgsfbY5kScF2xg/tR6c2jnL1K5sexN6uJ7beZ+NNX4T75/exXPaYvGeFqAdJ2oQIE0qZuBZ/CEph7X4a1o79QMmzQo3tP6ujKFb+NUT/fk1/fvzf4mCH1KR6xxs8fHoRC/fZmbvTwfYDhTx9oIDOMQapcT7sR+/OVzU9SMRpV+LbswYz9yCeFZ8TcfqVTRi9EM2LPL0sRJjwbvkZM2sH2BxEnHF1sMNp1o4fNOkxNFLjffxjaBGtoyOCF1QQWXQ4r4uHR88s5LRT2gAaewut/LjfP8q0ukGmmiOaiOHXA+BZ+y2+o+vjCiFqT5I2IcKA6SrEvXQ6ABFDxqFHxQU5oubL5YP3NkQGfj6jvYc7BhXjlPsStI5Q3HJRKsOS3cTYTLxHR5muOGSjsMRb5X62bkOwpowAFK4f30Z5SpsuaCGaEUnahAgDnqUzwF2MHt8JW7/zgh1Os+O2RmF0GcrB1gN4ek0i67KPZWhXpbqwypWynASnYngHD6fEe9E1RVaphf/7cA1bj1Q9ktlx5jVoMW1Qhdm4fn5fJt0Vog7kb0chQpzvYDreLYsAiD3rcuxaKRz9/86imUGMrPlweUzen7uRNVk2fEojyqIgMgrdrLr3KBh8tgjsEU33IH9l04OUjZTVj44ybeMwWXXYRl6Rh5dWRXFhNzcXdXNjOSHR1exOHOf8hdKvnsK3YyneNl2wDxzbVC9FiGZBkjYhQpjyeXD9/D4Ajt5nUXJgJyUHdga2Jww+J0iRNR+mgi9/3cuKQ/51W+MiTAa3Nel1/6uUZu1HQZNP7VEZZbGyedQfuOiy81k7e16TnLOy6UFOHCkbG6EY3t5DSetu/Lw2g293OdhS0pobz0kmyuKE4/6usCb3IuLMa3D/8hHupTPQ4zti7TSgKV6KEM2CdPoLEcI8q79C5WeiRbYm+vRLgx1Os1PqgzfXRvLVr/452brE+BjWzoPDeixhOf7LNOSWXmWsOlx9Xi9OTfRg1RQ7D7l4fPou1uzIwamKyn3FnnIajlP8z7eVLngd4/DuYIcvRNiQnjYhQpSRvQfPmm8AiDhrArrdGeSImpeMYp031kaSVWLBatHoE+ehU4xx8h1FldpHm7SK8LAqy0aBR+fF6Ru4uLuLC7q60Y9bm7XVGZfhzcvCyNhCydfPEHnRZCyJXYMWtxDhQnrahAhByuui9PvXQRlYuw7B1q3iskOi7tZkWXl6WTRZJRbiIkzuu7p/uYRNM3wceuEZuq1YiGY03VJV1dEMH91WLOTQC8+ETEyVibIpzmznoWO0D6Xgyx0O3lgbSfFxjwfaIhzEnX8LtqTu4Cmh9JtnsOZsDV7QQoQJSdqECEGuxR/5b4tGxRFx9g3BDqfZME3FF9sjeHNdFG5Do1drH/efXkTX5JgKdd3bthKdezgIUVYtOvcw7m2hn9xYdBiY6OO6C3pi1RXrs208uTSGHXn+0aXK66Zg/c+Q3BstKg7lLiH382fwpP8U5MiFCG1ye1SIEOPd+gu+bb+ApuEYfRu6o2JCIWqv2Kvx+ue7Wbfbv/zSOX1bc+lpbbDoGkYQBxg0ZyMHd6Kdw807P2SQU+jj+ZXRXDAwnqs0/61+zWLD2vMMfLtXofIzcS96D/PQdiKG/REtouKyWEK0dHKlEiKE+A5swrXoPQDsQy7F2i41yBE1D3sKLLy1LpIjrlx0TTGgjZfIkkzm/ZgJNM+1Q0OB22OwYd02hsTDRmXjQJGF79YcYcOB1VzdxUL31oY/cet+GnaLonjFXLxbfsa3Zw0Rw67C2utMNE1uCAlRRpI2IUKEcXg3pfNeAdOHtesQ7IMuDnZIYU8pWHTAzswtDnxKI7G1g9TIfFpFyCjQpmTTYVCil7ZOgw05NvYfLuHZw9Gc1d7D73u4aB0B9qF/wNW2D8YvH6LyM3D9+A6s+RbH4N9j7X4a8jSPEPIpECIkGNm7Kf32efC6sLQ/Bcfov6Dp8vGsD5fH4P2NTqalO/EpjYGJXh6+dqAkbEHUPtpkVEc3Z/XzLy7/y0E7//wlhs+3OTic72bergh+aHcT2xPPxafbIe8Arh/epPjTSZQunYn3SEaQX4EQwSU9bUIEmXfnclwL3wbDg96mK3Fjb0fXPKA85erJ6gc1t69A58OPtrA/x46uKS7t6eK8zh5sEXLJCza7Ba68sBdnOHYye5uDnflW5u2JYOGby+jYxkGvdtEcbJPGobj+tM9dRbfCVajiI7hWfsm+lV9ibZeKNWU41u5paDZHsF+OEE1KrmBCBIkyvHhWfoFnzVwALJ364zz3r+iaSd7K+RXqy+oHJ2cqmLc7grk7IzCUi1i7yZ/7l9Arrvbzr2l2O4YvtOZtM3ULFmvV63uGkx6tDe4dWsyGbCtzd0awt9DKrswSdmWWEO8w6RTtoyAqmT5/fAbb3uW4tv6GZ386vowt+DK2wC8f+afD6XUmlg590PTm0S5CVEeSNiGCwMjchmvRe5h5BwGw9TufiGFX+f/jUUVBji487c638Em6k32F/v+8h6YkMH5oLDFOa62XoVIWK51efo2vm2i5qJpQFisbzx3PRZedz7oQiqs+NA36J/ro18bHzjZn8eFXa8kq0Tni0jnisrMxR1Hy/S7OsOfTLSmV2PY9KDmwA1WUg5GfhW/7Enzbl6A7Y4jodTpaz+HoCV3QNO3kJxciDEnSJkQTMvMP4V4+C9/OZQBozlgizroWW/e0IEcWvnKLvPx3s4NfDthRaDitiitSShn+uzP5YvYP5erKKNHQpGmQ2qkVaUleSn2wv8jCvkILpT6dRWsPsYhokqMMhnc2GZLYmw6//x356StQ+9ai9q/HLC2kdN0CWLcAvXV7rL3OwNZzGHpMYrBfmhANSpI2IZqA90gGrp8+o3TzL6BMQMORMozWI67E1G3letfk2bWaKfBofL/Hzo8/bsDjiwDg9HYeLuvlItaupLclTDmt0Ku1Qc9WBjkuHRXXntVbDpNZbGHmZguzNltJ3b2eiJICkqO6YHN0IsGaSVqSG2PvGsy8g3iWz8KzfBaW5BQiew8jonM/9IjIYyexOSj1yX9/IvzIu1aIRmQc2Y9r7Vxyty87mqyBFpuEpf0pmJGt0DStwvNr8uxa9Q4U6SzcG8HSTBs+UwMU3ds6uCStDT2T/ZO2GtT8VmhlNMMg6/+9TJfMbPYOOBNlCf7zUpph0Hndr2RlbEZrmxISMdWVbrNjdCm/NNuJvy9NgzZOk0svSqUwaQdrDttZlhlBeo5O+t58wM6GHEVypEmHmI6cMWo0TmXg27UC77ZfMQ6mY2RupTBzK4Wajt4qGT2hE1psW+KGXgBadBO+YiEahiRtQjQwpRTmoe141n6Db8/qQLm9U19MZzx6dHwQowtPeS6NVVk2VqzfzK5Dx1aI6BLr4+Jz+7Nz9Wq2bcpj26Zj+9TvVqjCtWE9sUe/Dw2K2OwMXNkZMLpXsIOpF7fH4Nsf1pcrq+735bTCWR28nNtTY/8RL8vMvixYuptin86BYgsHii1sfXMZZ54ST1qvnqT8bhCqJA/XjhW4ty3Dl5uBmXfQ/wyp1U6hpxAtZRR6G3n+TYQXSdqEaCDK58G3Yym+TfPxHd57tFQjotsgWp/2Oyyt25G9fEFQYwwXhqnYmWdh8xEr67Ot7Ckou1SVYtEUAxJ9nNvZTfdWBrYe8exaE8xoRVNq41T8fkAnvAe2kufW2F9kIaPYQl6Rh2+WZ/LN8kyibSb92/gY2NbKGb+/h6LlX2Ee2Y95ZD/43JRu/BE2/uh//i3lTGw9z0CPTgj2SxPipJpF0maaJq+++iozZsygoKCAIUOG8K9//YsuXboEOzTRAph5mXi3Lsa7+UeU++izaZqOHt8RS9ueaFGxuA9uJzK2bXADDWH5bo1d+RZ2F1jYnW9lz6J1uDzHbl9pQNe2Ds4c1In+iQbRDv+tQRNk3dBmruxWqqlBiUXHNEwsuhVNgziHIs7ho0+Cj24DB7Fy6To2ZFsp8uosybCzJMPO2+vX0TmmAz1bJ9MhcRDtOUx7RwnG3rX+59+WzcSzbBZ6Ug+snQZg7dgPPaEzmkXeVyL0NIt35Wuvvca0adN48sknSUpK4tlnn+WWW25h7ty52O32YIcnmhllGpiHd+E7sBHfrpWYOXsD27ToBCJPGY7H7UGzynvveEpBQYmX7XkWMop0DpVYyHJZOfjDenIKY0+obWDTFQkOk0SnSdtIA4fVxVn9T6swDYeMCG3eym6lapqG1WbB5zUYO67879yiweBeCQwoLsUwYVuehXWHbaw7bCPHpbMr38qufCsQAURh0TWS44bQzukizn2AViX7iNtXRNyBH4jT5+K0mlgSu2Jp3R4tNhE9Kh7sTjSbwz+hr82BZosAi83/ObfYZJ440STCPmnzeDy8++67TJo0iZEjRwLw4osvMmLECObPn89FF10U5AhFOFOeUsz8Q5j5GRjZezFz9mBk7QJv6bFKmo6lQx9sp5yDtcsgIrVSvJVMjlsbpgJD+RMdQ4GpNGwlPoo85Z+/qazs+HKF/4kspUAv8pLn1lDq2FNapUUWCuMHomug6xq6BhZdw2JE4DH8/xlqGuiVPPZjKvCZUFDi44hLo8SrUeTVKPLoqFWHObQjgjy3zhGXRq7LP/eW5/v1wIkPgHvRgOQ4O10THXRJdNCzVydW/fgL8riRqKnjBzf0Ovp1mVJ4HXGs/fEnduZbOFhk4UCRBZcBB3JKOQBA+6Nfx1gwiDniIkYrJUbPJUY7SKxeSozuIkZzEauXEq27cGoeIjU3Ns0ETfcnchFRaPYotIhItAj/v9ijAt9rEdHHttkjwWIF3QK6xZ/4aZZjP8sHQJwg7JO29PR0iouLGTZsWKAsNjaWPn36sHz58maftCllgmn4vwwfyjTA9IFpoI7+i1KgWfxrWR69GKDpx10k9KM/64Hvw+lioZQCZYB5tC2UebQd/N+XtY8yzePq+VBeF8pTgvKUgqcE5S7BLM5DLz2CUXQEszjPv62yc9qj0Nv1JqJzX2wdeoM9ClMpDFcBRcok361hKCj1abgMHV++js+XQ9ZeO6U+jVKfRolPw9y3k/zDkZQcLXP5NEoXrsZrtKp40p/WASf0SC2qpKyq8p/XVyxbvLyKVt0JHItBQ6H/sBqdWCyaP5H0mkffIwsrOdeGfUDlSwzFRVlJbm0nOc5O+/gI2nVsx/pffsOqu8BbQOFBaD+sN6vD5y0oQkBlgxsALvvj70g7YyBlMyEqpSi0JzD7858p9mqBz2OpT8Ow2Cku9WFgIc+MIo8oqMGiGFYMIjU3Ts2DU/cQqXmOJnQenFoBdu0IDs1LhObFrvn83+MjQvMSofn/tWkGFkx0zGN/JB29Lmu6BaVb0bTjruEWK5rNiR7hxB0Vg0+zoawOfyJoc6LZnWBzgN3p7yW0O9Esdn+SaLH5b/9abKBbq73eaxBW/x80d5pSKlSGRtXJvHnzmDhxImvXrsXhOPafxN///ndcLhdvvvlmrY+plMI0q24WTQNd1zFNk7q0XmFB0dGpCmoYT+1PESLKv8bGeR1lR23Yi0rFWLUw/j1UzT9hRsMdC/yfD6vVgo461oOna1g00K1WSouP76XUiIx0UFJcPjmOjHJWKKuqvLHq2kuLAfA4o5o+rirapbKYmjSuJj5XhXJNA6Ua9VzFR8vLeqRtdnvg/wRTKUyF/3tTNfo1oSZXHdXA176aqOzKXl0Ux7apQEFV9evyf2pl1+uG4z+6VVe0im28aWJ0XatRchz2SdsXX3zB5MmT2bx5M7quB8onT55MVlYW77//fvCCE0IIIYRoIPrJq4S2st41j8dTrtztduN0OoMRkhBCCCFEgwv7pK1dO/8ooqysrHLlWVlZJCcnByMkIYQQQogGF/ZJW+/evYmOjmbp0qWBsoKCAjZt2sTQoUOr2VMIIYQQInyE/ehRu93OhAkTeO6554iPj6dDhw48++yzJCcnM2bMmGCHJ4QQQgjRIMI+aQO488478fl8PPzww7hcLtLS0pg6dapMrCuEEEKIZiPsR48KIYQQQrQEYf9MmxBCCCFESyBJmxBCCCFEGJCkTQghhBAiDEjSJoQQQggRBiRpE0IIIYQIA5K0CSGEEEKEAUnahBBCCCHCgCRtx3nttde49tpry5U98MADpKamlvs6++yzqz3Ot99+y9ixY+nfvz8XX3wxixYtasywm8SJbXPttddWaJeyrzlz5lR5nNGjR1eof++99zbBK2gYeXl5/POf/+Tss89m8ODBXH311axYsSKwffPmzUyYMIFBgwYxatQopk6detJjNof3y8na5YcffmD8+PGceuqpjB49mqeffhqXy1XtMcP9vVLmZG3TUq8x1bVLS72+AOTk5DBp0iSGDRvGqaeeyq233sr27dsD21vqNeZk7dJirjFKKKWUeu+991RqaqqaMGFCufJx48apF154QWVlZQW+cnJyqjzOkiVLVN++fdVHH32ktm/frp566inVr18/tX379sZ+CY2msrbJzc0t1yZZWVnq1ltvVRdeeKEqLCys9DiFhYUqNTVVLVy4sNx+BQUFTfVS6u3GG29Ul1xyiVq+fLnasWOHevzxx9WAAQPU9u3b1ZEjR9Tpp5+uHnroIbV9+3Y1c+ZM1b9/fzVz5swqj9dc3i/Vtcvy5cvVKaecot588021e/du9dNPP6mRI0eq+++/v8rjNYf3Spnq2kaplnuNqa5dWur1RSmlrrjiCnXVVVepdevWqe3bt6uJEyeqs846S5WUlLToa0x17dKSrjEtPmnLzMxUN998sxo0aJC68MILyyUmPp9P9e/fX82fP7/Gx7vpppvUXXfdVa7sqquuUo888kiDxdxUqmubE3311VeqT58+Kj09vco6K1euVCkpKSo/P78xwm10u3fvVikpKWrlypWBMtM01ZgxY9RLL72k3njjDTVixAjl9XoD259//nl1wQUXVHnM5vB+OVm73HPPPerGG28st8+cOXNUnz59lNvtrvSY4f5eKXOytmmp15iTtcuJWsL1RSmljhw5ou6++261devWQNnmzZtVSkqKWrt2bYu9xpysXVrSNabF3x7duHEjrVq14ssvv2TgwIHltu3evRu3202PHj1qdCzTNFm1ahXDhg0rV3766aeXux0SLqprm+OVlJTwzDPPcP3115OamlplvS1btpCYmEhsbGxjhNvo4uLieOutt+jXr1+gTNM0lFLk5+ezYsUK0tLSsFqPLek7bNgwdu3aRU5OToXjNZf3y8na5aabbmLy5MkV9vP5fBQVFVV6zHB/r5Q5Wdu01GvMydrleC3l+gL+dnnhhRfo1asXANnZ2UydOpXk5GR69uzZoq8x1bVLS7rGNIsF4+tj9OjRjB49utJtW7duRdM0PvjgAxYtWoSu64wcOZK77rqLmJiYCvULCgooKSkhOTm5XHnbtm3JyMholPgbU3Vtc7xp06ZRXFzMX//612rrbd26lcjISCZOnMjq1auJj4/nsssu47rrrkPXQ//vh9jYWEaOHFmu7Ntvv2Xv3r0MHz6cF198kZSUlHLb27ZtC8DBgwdJSEgot625vF9O1i59+vQpt83j8fDee+/Rt29f4uPjKz1muL9XypysbVrqNeZk7XK8lnJ9OdEjjzzC9OnTsdvtvP7660RGRpKZmdkirzHHq6xdWtI1JnQjCwHbtm1D13U6dOjAG2+8wX333cdPP/3E3/72N0zTrFC/7KFHu91erjwiIgK3290kMTc1wzD46KOPuOaaayr9T+Z427Zto7CwkLFjxzJ16lSuuuoqXn75Zf7zn/80UbQNa+XKlTz44IOce+65jB49GpfLVenvHqj0999c3y8ntsvxfD4fkydPZvv27fzrX/+q8hjN7b1S5sS2kWuMX1XvmZZ8fbn++uuZNWsWl1xyCbfffjsbN26UawyVt8vxmvs1psX3tFVn4sSJ3HDDDYHu05SUFBITE7nqqqtYv359hVuGZR8ej8dTrtztduN0Opsm6Ca2bNkyDh48yJVXXnnSuu+99x5ut5vo6GgAUlNTKS4u5vXXX2fixIkh/dfNiRYsWMC9997LwIEDeeGFFwBwOByV/u4BIiMjKxyjOb5fKmuXMkVFRdx1110sXbqUV155pdpb7s3pvVKmsraRa0z175mWen0B6NmzJwCPP/44a9as4eOPP5ZrDJW3y5NPPgm0jGtMaEYVIjRNq3C/u6xrOjMzs0L91q1bExkZSVZWVrnyrKysCt3TzcWCBQsYMGAAnTp1Omldm80W+ICUSUlJoaSkpMJzLKHs448/ZuLEiZx99tm8/fbbOBwOAJKTkyv93QMkJSVVOE5ze79U1S7gf01/+tOfWL16NW+//fZJb7s3l/dKmarapqVfY6p7z0DLu77k5OQwd+5cDMMIlOm6To8ePQK/45Z4jTlZu0DLucZI0laNe+65h5tvvrlc2fr164Fj2f7xNE1j8ODBLFu2rFz50qVLGTJkSOMFGkQrV66s8JBrZUzTZPTo0bz++uvlytevX0+bNm2Ii4trrBAb1CeffMLjjz/On/70J1566aVytx3S0tJYuXJluQvLkiVL6NatW4VnTaB5vV+qa5f8/Hyuv/56jhw5wieffHLS90tzea+Uqa5tWvI1prp2KdPSri9ZWVncc8895X6/Xq+XTZs20aNHjxZ7jTlZu7Soa0xwB6+Glvvuu6/ctBY//PCDSk1NVa+99pras2eP+vHHH9Xo0aPVP/7xj0CdgoKCcnMq/fzzz+qUU05R7777rtq+fbt6+umny83JFK5ObBul/FOi9O3bV3355ZeV7nNi2zz11FNq8ODB6ptvvlF79uxR06ZNUwMGDFCfffZZo8beUHbu3Kn69u2rbr/99gpzSBUUFKjs7GyVlpam7rvvPrVt2zY1a9Ys1b9/fzV79uzAMZrj++Vk7XLfffepvn37qiVLllTY7vP5lFLN771S5mRt01KvMSdrF6Va3vVFKf+0JzfddJO64IIL1PLly9WWLVvU3XffrdLS0tSBAwda7DXmZO3Skq4xkrQdp7LE5LvvvlOXXnqpGjBggDrrrLPUU089pVwuV7l9zjnnnHL7fP7552rMmDGqf//+aty4cerXX39tkvgbU2Vtk52drVJSUtSiRYuq3Of4tvF6veq1115T5557rurbt6+64IILQv4DcrzXX39dpaSkVPp13333KaWUWrt2rbryyitVv3791DnnnKM++uijcsdoju+X6tpl0qRJqn///lVu37dvn1Kq+b1XytTkPdMSrzE1aZeWdn0pU1BQoP71r3+ps846Sw0YMEDddNNN5eYna4nXGKWqbhfDMFrUNUZTSqlg9/YJIYQQQojqyTNtQgghhBBhQJI2IYQQQogwIEmbEEIIIUQYkKRNCCGEECIMSNImhBBCCBEGJGkTQgghhAgDkrQJIYQQQoQBSdqEEKIOJk+eTGpqKm+99VaFbffff/9J1z4UQojakqRNCCFqqaioiHnz5pGSksL06dOROcqFEE1BkjYhhKilr7/+GsMwePjhh9m3bx+LFy8OdkhCiBZAkjYhhKilWbNmcfrpp3P66afTrVs3pk2bFuyQhBAtgCRtQghRCzt27GDt2rWMGzcOgMsuu4yFCxdy6NChIEcmhGjuJGkTQohamDlzJrGxsZx33nkAXHrppQDMmDEjiFEJIVoCSdqEEKKGfD4fX375Jeeddx5ut5uCggIcDgenn346M2bMwDCMYIcohGjGrMEOQAghwsWPP/5IdnY2s2fPZvbs2RW2L1y4MNADJ4QQDU2SNiGEqKGZM2fSoUMHnnzyyQrb7rzzTqZNmyZJmxCi0UjSJoQQNZCdnc3PP//MTTfdxOmnn15h+9ixY5k2bRr79u0LQnRCiJZAkjYhhKiBzz//HJ/Px0UXXVTp9nHjxvHJJ58wffp0wD8B7/vvv1+hXnJyMhdeeGFjhiqEaKY0JVN5CyHESY0dOxZd15k7d26VdX73u9+Rn5/PGWecUWW90047jY8++qixwhRCNGOStAkhhBBChAGZ8kMIIYQQIgxI0iaEEEIIEQYkaRNCCCGECAOStAkhhBBChAFJ2oQQQgghwoAkbUIIIYQQYUCSNiGEEEKIMCBJmxBCCCFEGJCkTQghhBAiDEjSJoQQQggRBiRpE0IIIYQIA5K0CSGEEEKEgf8PyPkvurXtAgwAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"target_variable = \"AL\"\n",
"alLast_vals = get_aggdf(drug_group=drugTrue_iol,\n",
" non_drug_group=drugFalse_iol,\n",
" agg_func=agg_func,\n",
" target_variable=target_variable)\n",
"\n",
"dist_hue_drug(alLast_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Dist.\")\n",
"yearly_analysis(df=alLast_vals, target_variable=target_variable, title=f\"{agg_func.capitalize()} {target_variable} Year Trends\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### F/U 기간 비교"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"def delta(vals: pd.Series):\n",
" return vals.iloc[-1] - vals.iloc[0]\n",
"\n",
"fu_drug = drugTrue_exam.groupby(\"PTNO_AN\").agg({\"LABDT\": delta}).reset_index(drop=False)\n",
"fu_drugNo = drugFalse_exam.groupby(\"PTNO_AN\").agg({\"LABDT\": delta}).reset_index(drop=False)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'F/U Distribution')"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(7, 4))\n",
"fu = pd.DataFrame({\"F/U (days)\": fu_drug.LABDT.dt.days.tolist() + fu_drugNo.LABDT.dt.days.tolist(),\n",
" \"Drug\": [\"Drug\"] * len(fu_drug) + [\"No Drug\"] * len(fu_drugNo)})\n",
"sns.histplot(data=fu, x=\"F/U (days)\", hue=\"Drug\", ax=ax, kde=True)\n",
"ax.set_title(\"F/U Distribution\", size=\"x-large\")"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Drug F/U : 1298 ± 887 days\n",
"No Drug F/U : 1052 ± 938 days\n"
]
}
],
"source": [
"print(f\"Drug F/U : {fu_drug.LABDT.mean().days} ± {fu_drug.LABDT.std().days} days\")\n",
"print(f\"No Drug F/U : {fu_drugNo.LABDT.mean().days} ± {fu_drugNo.LABDT.std().days} days\")"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((829, 2), (2864, 2))"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fu_drug.shape, fu_drugNo.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 약물 사용횟수 분석"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"drug_counts = drug.groupby(\"PTNO_AN\").agg({\"FREQUENCY\": \"count\"}).reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, '# Prescription')"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(7, 4))\n",
"drug_counts.FREQUENCY.hist(bins=15, ax=ax)\n",
"ax.set_title(\"Drug Usage Counts\", size=\"x-large\")\n",
"ax.set_xlabel(\"# Prescription\")"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3 Months: 787(52.68%)\n",
"6 Months: 441(29.52%)\n",
"9 Months: 217(14.52%)\n",
"12 Months: 49(3.28%)\n"
]
}
],
"source": [
"for months, _range in [(3, range(1, 5)),\n",
" (6, range(5, 9)),\n",
" (9, range(9, 13)),\n",
" (12, range(13, 100))]:\n",
" _drugc = drug_counts.FREQUENCY.isin(_range)\n",
" print(f\"{months} Months: {_drugc.sum()}({_drugc.sum() / drug_counts.PTNO_AN.nunique()*100:2.2f}%)\")"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1494"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drug_counts.PTNO_AN.nunique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## F/U 기간 대비 SE/AL 변화량"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"처음과 마지막만 비교"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"def get_derivative(first_df: pd.DataFrame,\n",
" last_df: pd.DataFrame,\n",
" target_variable: str = \"SE\",\n",
" xlim: tuple = None) -> pd.DataFrame:\n",
" \"\"\" Returns yearly delta \"\"\"\n",
" fu_cols = [\"Date\", target_variable]\n",
" delta = last_df[fu_cols] - first_df[fu_cols]\n",
" delta = delta[delta.Date.dt.days > 0]\n",
" \n",
" DELTA_COL = \"dydx\"\n",
" delta[DELTA_COL] = (delta[target_variable] / delta.Date.dt.days) * 365\n",
" delta[\"Drug\"] = last_df[\"Drug\"]\n",
" \n",
" print(f\"약물 사용군 {np.nanmean(delta[delta.Drug == 'Drug'][DELTA_COL]):.3f} ± {delta[delta.Drug == 'Drug'][DELTA_COL].std():.2f}\")\n",
" print(f\"약물 비사용군 {np.nanmean(delta[delta.Drug != 'Drug'][DELTA_COL]):.3f} ± {delta[delta.Drug != 'Drug'][DELTA_COL].std():.2f}\")\n",
" \n",
" dist_hue_drug(df=delta, target_variable=DELTA_COL, title=f\"{target_variable} Annual Progression Rate\", xlim=xlim)\n",
" return delta"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물 사용군 -0.609 ± 1.11\n",
"약물 비사용군 -0.353 ± 1.37\n",
"약물사용군 : -0.61 ± 1.110\n",
"약물비사용군 : -0.35 ± 1.369\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"target_variable = \"SE\"\n",
"seDelta = get_derivative(first_df=seFirst_vals, last_df=seLast_vals, target_variable=target_variable, xlim=None)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>SE</th>\n",
" <th>dydx</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>3693</td>\n",
" <td>3693.000000</td>\n",
" <td>3693.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1108 days 02:21:32.607636064</td>\n",
" <td>-1.402011</td>\n",
" <td>-0.410418</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>932 days 18:43:22.718593888</td>\n",
" <td>1.886476</td>\n",
" <td>1.319671</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>7 days 00:00:00</td>\n",
" <td>-19.125000</td>\n",
" <td>-15.981638</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>363 days 00:00:00</td>\n",
" <td>-2.250000</td>\n",
" <td>-0.795785</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>850 days 00:00:00</td>\n",
" <td>-0.875000</td>\n",
" <td>-0.460510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1636 days 00:00:00</td>\n",
" <td>-0.250000</td>\n",
" <td>-0.117250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>4492 days 00:00:00</td>\n",
" <td>4.625000</td>\n",
" <td>25.347222</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date SE dydx\n",
"count 3693 3693.000000 3693.000000\n",
"mean 1108 days 02:21:32.607636064 -1.402011 -0.410418\n",
"std 932 days 18:43:22.718593888 1.886476 1.319671\n",
"min 7 days 00:00:00 -19.125000 -15.981638\n",
"25% 363 days 00:00:00 -2.250000 -0.795785\n",
"50% 850 days 00:00:00 -0.875000 -0.460510\n",
"75% 1636 days 00:00:00 -0.250000 -0.117250\n",
"max 4492 days 00:00:00 4.625000 25.347222"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"seDelta.describe()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"약물 사용군 0.380 ± 0.21\n",
"약물 비사용군 0.335 ± 0.33\n",
"약물사용군 : 0.38 ± 0.212\n",
"약물비사용군 : 0.33 ± 0.334\n"
]
},
{
"data": {
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"<div>\n",
"<style scoped>\n",
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" .dataframe thead th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>AL</th>\n",
" <th>dydx</th>\n",
" <th>Drug</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1366 days</td>\n",
" <td>1.05</td>\n",
" <td>0.280564</td>\n",
" <td>Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>939 days</td>\n",
" <td>1.81</td>\n",
" <td>0.703568</td>\n",
" <td>Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1455 days</td>\n",
" <td>1.63</td>\n",
" <td>0.408900</td>\n",
" <td>Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>178 days</td>\n",
" <td>0.28</td>\n",
" <td>0.574157</td>\n",
" <td>Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2751 days</td>\n",
" <td>3.25</td>\n",
" <td>0.431207</td>\n",
" <td>Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9557</th>\n",
" <td>1010 days</td>\n",
" <td>0.71</td>\n",
" <td>0.256584</td>\n",
" <td>No Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9558</th>\n",
" <td>249 days</td>\n",
" <td>0.01</td>\n",
" <td>0.014659</td>\n",
" <td>No Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9559</th>\n",
" <td>568 days</td>\n",
" <td>0.98</td>\n",
" <td>0.629754</td>\n",
" <td>No Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9560</th>\n",
" <td>919 days</td>\n",
" <td>1.44</td>\n",
" <td>0.571926</td>\n",
" <td>No Drug</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9561</th>\n",
" <td>91 days</td>\n",
" <td>0.08</td>\n",
" <td>0.320879</td>\n",
" <td>No Drug</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>9493 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" Date AL dydx Drug\n",
"0 1366 days 1.05 0.280564 Drug\n",
"1 939 days 1.81 0.703568 Drug\n",
"2 1455 days 1.63 0.408900 Drug\n",
"3 178 days 0.28 0.574157 Drug\n",
"4 2751 days 3.25 0.431207 Drug\n",
"... ... ... ... ...\n",
"9557 1010 days 0.71 0.256584 No Drug\n",
"9558 249 days 0.01 0.014659 No Drug\n",
"9559 568 days 0.98 0.629754 No Drug\n",
"9560 919 days 1.44 0.571926 No Drug\n",
"9561 91 days 0.08 0.320879 No Drug\n",
"\n",
"[9493 rows x 4 columns]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# AL은 이상한 값들이 있어서 우선 배제\n",
"target_variable = \"AL\"\n",
"alDelta = get_derivative(first_df=alFirst_vals, last_df=alLast_vals, target_variable=target_variable)\n",
"alDelta"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"전체 기간 평균"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_diff(ser: pd.Series):\n",
" null_dt = (ser.diff().dt.days == 0).sum()\n",
" return null_dt\n",
" \n",
"bool_ = drugTrue_exam.groupby(\"PTNO_AN\").agg({\"LABDT\": get_diff}).LABDT\n",
"null_dt_ptno_an = bool_[bool_ > 0].index.tolist()\n",
"null_dt_ptno_an"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PTNO_AN</th>\n",
" <th>LABDT</th>\n",
" <th>FLD02</th>\n",
" <th>FLD03</th>\n",
" <th>FLD04</th>\n",
" <th>SE</th>\n",
" <th>SEQID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: [PTNO_AN, LABDT, FLD02, FLD03, FLD04, SE, SEQID]\n",
"Index: []"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drugTrue_exam[drugTrue_exam.PTNO_AN.isin(null_dt_ptno_an[:1])]"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"def agg_derivative(series, target_variable: str = \"SE\"):\n",
" \"\"\" Use with `.apply`, not `.agg` \"\"\"\n",
" dt = series[\"LABDT\"].diff().dt.days.iloc[1:]\n",
" target = series[target_variable].diff().iloc[1:]\n",
" dydx = target / dt\n",
" return dydx.mean() * 365\n",
" \n",
"dtSE_drugTrue = drugTrue_exam.groupby(\"PTNO_AN\").apply(agg_derivative, target_variable=\"SE\")\n",
"dtSE_drugFalse = drugFalse_exam.groupby(\"PTNO_AN\").apply(agg_derivative, target_variable=\"SE\")"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3.515620546684227, 2.530797145128147)"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dtSE_drugTrue.std(), dtSE_drugFalse.std()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"연간 변화율이 이상한 케이스"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"PTNO_AN\n",
"8822431 22.933008\n",
"32176999 15.985518\n",
"33222530 5.288564\n",
"36379469 -86.570513\n",
"39438962 13.614833\n",
"50895370 11.913194\n",
"57054024 6.083333\n",
"64396953 9.417746\n",
"73796346 12.179354\n",
"82857280 21.183036\n",
"91664971 6.496710\n",
"dtype: float64"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dtSE_drugTrue[(dtSE_drugTrue < -40) | (dtSE_drugTrue > 5)]"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PTNO_AN</th>\n",
" <th>LABDT</th>\n",
" <th>FLD02</th>\n",
" <th>FLD03</th>\n",
" <th>FLD04</th>\n",
" <th>SE</th>\n",
" <th>SEQID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>159234</th>\n",
" <td>36379469</td>\n",
" <td>2017-06-10</td>\n",
" <td>-3.50</td>\n",
" <td>-0.25</td>\n",
" <td>180</td>\n",
" <td>-3.625</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>159268</th>\n",
" <td>36379469</td>\n",
" <td>2019-01-03</td>\n",
" <td>-0.75</td>\n",
" <td>-0.25</td>\n",
" <td>180</td>\n",
" <td>-0.875</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>159270</th>\n",
" <td>36379469</td>\n",
" <td>2019-01-09</td>\n",
" <td>-3.50</td>\n",
" <td>-0.50</td>\n",
" <td>10</td>\n",
" <td>-3.750</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PTNO_AN LABDT FLD02 FLD03 FLD04 SE SEQID\n",
"159234 36379469 2017-06-10 -3.50 -0.25 180 -3.625 1\n",
"159268 36379469 2019-01-03 -0.75 -0.25 180 -0.875 1\n",
"159270 36379469 2019-01-09 -3.50 -0.50 10 -3.750 1"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drugTrue_exam[drugTrue_exam.PTNO_AN == 36379469]"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"PTNO_AN\n",
"317506 18.412425\n",
"4699199 6.426056\n",
"6666665 23.953125\n",
"6768850 24.404070\n",
"7061419 6.154549\n",
"8629340 8.478334\n",
"12883145 5.140617\n",
"18896043 6.463230\n",
"24329939 25.347222\n",
"25108337 5.692557\n",
"26555635 8.094351\n",
"27723486 20.652512\n",
"29229930 6.557877\n",
"29885837 13.221330\n",
"30937876 -43.405405\n",
"31918679 6.665499\n",
"33219121 7.771323\n",
"33321968 21.577261\n",
"34058971 10.204078\n",
"34176476 11.738193\n",
"35474174 8.673667\n",
"36561010 11.173469\n",
"37383671 6.400379\n",
"42695239 10.313065\n",
"44076910 19.551778\n",
"44740773 7.997098\n",
"44742536 -62.629922\n",
"47866602 11.031450\n",
"52541090 9.431525\n",
"54097622 10.691573\n",
"58603269 5.062202\n",
"59550673 5.013736\n",
"59848193 11.381040\n",
"60338406 10.884210\n",
"63060060 6.517857\n",
"64761686 14.159483\n",
"67290505 11.599576\n",
"72670205 5.504705\n",
"76128519 18.427979\n",
"77998238 5.445007\n",
"78203389 7.113064\n",
"78541880 26.301459\n",
"81008411 7.992315\n",
"88778391 27.747799\n",
"93332579 14.827507\n",
"97246009 21.107027\n",
"98075732 7.242063\n",
"98203125 8.105178\n",
"dtype: float64"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dtSE_drugFalse[(dtSE_drugFalse < -40) | (dtSE_drugFalse > 5)]"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>PTNO_AN</th>\n",
" <th>LABDT</th>\n",
" <th>FLD02</th>\n",
" <th>FLD03</th>\n",
" <th>FLD04</th>\n",
" <th>SE</th>\n",
" <th>SEQID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>284184</th>\n",
" <td>44742536</td>\n",
" <td>2021-08-12</td>\n",
" <td>-3.5</td>\n",
" <td>-1.0</td>\n",
" <td>180</td>\n",
" <td>-4.00</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>284188</th>\n",
" <td>44742536</td>\n",
" <td>2021-11-11</td>\n",
" <td>-2.0</td>\n",
" <td>-1.0</td>\n",
" <td>180</td>\n",
" <td>-2.50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>284192</th>\n",
" <td>44742536</td>\n",
" <td>2021-11-25</td>\n",
" <td>-9.0</td>\n",
" <td>-1.0</td>\n",
" <td>180</td>\n",
" <td>-9.50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>284196</th>\n",
" <td>44742536</td>\n",
" <td>2022-02-05</td>\n",
" <td>-11.0</td>\n",
" <td>-1.5</td>\n",
" <td>180</td>\n",
" <td>-11.75</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PTNO_AN LABDT FLD02 FLD03 FLD04 SE SEQID\n",
"284184 44742536 2021-08-12 -3.5 -1.0 180 -4.00 1\n",
"284188 44742536 2021-11-11 -2.0 -1.0 180 -2.50 1\n",
"284192 44742536 2021-11-25 -9.0 -1.0 180 -9.50 1\n",
"284196 44742536 2022-02-05 -11.0 -1.5 180 -11.75 1"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"drugFalse_exam[drugFalse_exam.PTNO_AN == 44742536]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Distribution Matching\n",
"\n",
"생각보다 Last Visit SE에 맞춰서 "
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"def sampling(df: pd.DataFrame,\n",
" target_variable: str = \"SE\",\n",
" title: str = None,\n",
" plot_dist: bool = True) -> pd.DataFrame:\n",
" drugTrue = df[df.Drug == \"Drug\"]\n",
" drugFalse = df[df.Drug != \"Drug\"]\n",
" \n",
" random_samples = np.random.normal(loc=drugTrue[target_variable].mean(),\n",
" scale=drugTrue[target_variable].std() * 1.2,\n",
" size=len(drugFalse))\n",
" cond = random_samples >= drugFalse[target_variable]\n",
" print(f\"Orig Non-drug patients: {len(drugFalse)} -> Sampled {cond.sum()}\")\n",
" print(f\"Drug patients: {len(drugTrue)}\")\n",
" selected_df = drugFalse[cond]\n",
" selected_df[\"Drug\"] = \"Sampled\"\n",
" \n",
" selected_df = pd.concat([df, selected_df])\n",
" if plot_dist:\n",
" dist_hue_drug(df=selected_df, target_variable=target_variable, title=title)\n",
" return selected_df, cond"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
"def multivariate_sampling(dfs: pd.DataFrame, target_variables: List[str]):\n",
" conds = []\n",
" for df, tv in zip(dfs, target_variables):\n",
" _, cond = sampling(df=df, target_variable=tv, plot_dist=False)\n",
" conds.append(cond)\n",
" \n",
" conds = pd.DataFrame(conds).apply(lambda row: row.all(), axis=0)\n",
" print(f\"Newly sampled non-drugs {conds.sum()}\")\n",
" for df, tv, tt in zip(dfs, target_variables, [\"First\", \"Last\"]):\n",
" _drugTrue_df = df[df.Drug == \"Drug\"]\n",
" _drugFalse_df = df[df.Drug == \"No Drug\"]\n",
" _drugFalse_df = _drugFalse_df[cond]\n",
" new_sample = pd.concat([_drugTrue_df, _drugFalse_df])\n",
" dist_hue_drug(df=new_sample, target_variable=tv, title=f\"{tt} {tv} After Matching\")\n",
" return new_sample"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Orig Non-drug patients: 2864 -> Sampled 1100\n",
"Drug patients: 829\n",
"약물사용군 : -2.76 ± 2.268\n",
"약물비사용군 : -1.97 ± 2.021\n",
"매칭후 : -3.07 ± 2.604\n",
"\n",
"Orig Non-drug patients: 2864 -> Sampled 885\n",
"Drug patients: 829\n",
"약물사용군 : -5.09 ± 2.847\n",
"약물비사용군 : -3.10 ± 2.585\n",
"매칭후 : -5.02 ± 3.137\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 700x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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