Update task_cohort.py
Browse files- task_cohort.py +7 -7
task_cohort.py
CHANGED
@@ -4,9 +4,6 @@ import yaml
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import time
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import yaml
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import sys
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from .day_intervals_cohort_v22 import extract_data
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from .data_generation_icu_modify import Generator_icu
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from .data_generation_modify import Generator
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def check_config_file(task,config_file):
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with open(config_file) as f:
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@@ -135,6 +132,9 @@ def create_cohort(task, mimic_path, config_path):
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import day_intervals_cohort
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import feature_selection_icu
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import feature_selection_hosp
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root_dir = os.path.dirname(os.path.abspath('UserInterface.ipynb'))
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@@ -199,7 +199,7 @@ def create_cohort(task, mimic_path, config_path):
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#-----------------------------------------------EXTRACT MIMIC-----------------------------------------------------
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if version == '2':
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cohort_output = extract_data(icu_no_icu,label,tim,icd_code, root_dir,version_path,disease_label)
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elif version == '1':
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cohort_output = day_intervals_cohort.extract_data(icu_no_icu,label,tim,icd_code, root_dir,version_path,disease_label)
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@@ -275,7 +275,7 @@ def create_cohort(task, mimic_path, config_path):
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thresh=config['outlier']
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left_thresh=config['left_outlier']
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feature_selection_hosp.preprocess_features_hosp(cohort_output, False,False, False,lab_flag,False,False,False,clean_chart,impute_outlier_chart,thresh,left_thresh)
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# ---------------------------------------
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if radimp == 'forward fill and mean' :
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impute='Mean'
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elif radimp =='forward fill and median':
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@@ -284,9 +284,9 @@ def create_cohort(task, mimic_path, config_path):
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impute = False
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if data_icu:
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gen=
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else:
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gen=Generator(cohort_output,data_mort,data_admn,data_los,diag_flag,lab_flag,proc_flag,med_flag,impute,include,bucket,predW)
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end = time.time()
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print("Time elapsed : ", round((end - start)/60,2),"mins")
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import time
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import yaml
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import sys
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def check_config_file(task,config_file):
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with open(config_file) as f:
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import day_intervals_cohort
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import feature_selection_icu
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import feature_selection_hosp
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import day_instervals_cohort_v22
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import data_generation_icu_modify
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import data_generation_modify
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root_dir = os.path.dirname(os.path.abspath('UserInterface.ipynb'))
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#-----------------------------------------------EXTRACT MIMIC-----------------------------------------------------
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if version == '2':
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cohort_output = day_instervals_cohort_v22.extract_data(icu_no_icu,label,tim,icd_code, root_dir,version_path,disease_label)
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elif version == '1':
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cohort_output = day_intervals_cohort.extract_data(icu_no_icu,label,tim,icd_code, root_dir,version_path,disease_label)
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thresh=config['outlier']
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left_thresh=config['left_outlier']
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feature_selection_hosp.preprocess_features_hosp(cohort_output, False,False, False,lab_flag,False,False,False,clean_chart,impute_outlier_chart,thresh,left_thresh)
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# ---------------------------------------time-Series Representation--------------------------------------------
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if radimp == 'forward fill and mean' :
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impute='Mean'
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elif radimp =='forward fill and median':
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impute = False
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if data_icu:
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gen=data_generation_icu_modify.Generator_icu(task,cohort_output,data_mort,data_admn,data_los,diag_flag,proc_flag,out_flag,chart_flag,med_flag,impute,include,bucket,predW)
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else:
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gen=data_generation_modify.Generator(cohort_output,data_mort,data_admn,data_los,diag_flag,lab_flag,proc_flag,med_flag,impute,include,bucket,predW)
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end = time.time()
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print("Time elapsed : ", round((end - start)/60,2),"mins")
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