Update cohort.py

cohort.py

@@ -56,13 +56,9 @@ def task_cohort(task,mimic_path,path_benchmark, config_path):
         cohort_output = day_intervals_cohort_v22.extract_data(icu_no_icu,label,tim,icd_code, root_dir,version_path,disease_label)
     elif version == '1':
         cohort_output = day_intervals_cohort.extract_data(icu_no_icu,label,tim,icd_code, root_dir,version_path,disease_label)
-    end = time.time()
-    print("Time elapsed : ", round((end - start)/60,2),"mins")
     #----------------------------------------------FEATURES-------------------------------------------------------
     if data_icu :
         feature_selection_icu.feature_icu(cohort_output, version_path,diag_flag,out_flag,chart_flag,proc_flag,med_flag)
-    end = time.time()
-    print("Time elapsed : ", round((end - start)/60,2),"mins")
     #----------------------------------------------GROUPING-------------------------------------------------------
     group_diag=False
     group_med=False
@@ -71,13 +67,9 @@ def task_cohort(task,mimic_path,path_benchmark, config_path):
         if diag_flag:
             group_diag=groupingICD
         feature_selection_icu.preprocess_features_icu(cohort_output, diag_flag, group_diag,False,False,False,0,0)
-    end = time.time()
-    print("Time elapsed : ", round((end - start)/60,2),"mins")
     #----------------------------------------------SUMMARY-------------------------------------------------------
     if data_icu:
         feature_selection_icu.generate_summary_icu(diag_flag,proc_flag,med_flag,out_flag,chart_flag)
-    end = time.time()
-    print("Time elapsed : ", round((end - start)/60,2),"mins")
     #----------------------------------------------FEATURE SELECTION---------------------------------------------
 
     select_diag= config['select_diag']
@@ -88,8 +80,6 @@ def task_cohort(task,mimic_path,path_benchmark, config_path):
     select_chart=  config['select_chart']
 
     feature_selection_icu.features_selection_icu(cohort_output, diag_flag,proc_flag,med_flag,out_flag, chart_flag,select_diag,select_med,select_proc,select_out,select_chart)
-    end = time.time()
-    print("Time elapsed : ", round((end - start)/60,2),"mins")
     #---------------------------------------CLEANING OF FEATURES-----------------------------------------------
     thresh=0
     if data_icu:
@@ -100,8 +90,6 @@ def task_cohort(task,mimic_path,path_benchmark, config_path):
             thresh=config['outlier']
             left_thresh=config['left_outlier']
         feature_selection_icu.preprocess_features_icu(cohort_output, False, False,chart_flag,clean_chart,impute_outlier_chart,thresh,left_thresh)
-    end = time.time()
-    print("Time elapsed : ", round((end - start)/60,2),"mins")
     # ---------------------------------------tim-Series Representation--------------------------------------------
     if radimp == 'forward fill and mean' :
         impute='Mean'
@@ -112,6 +100,8 @@ def task_cohort(task,mimic_path,path_benchmark, config_path):
     
     if data_icu:
         gen=data_generation_icu_modify.Generator(task,cohort_output,data_mort,data_admn,data_los,diag_flag,proc_flag,out_flag,chart_flag,med_flag,impute,include,bucket,predW)
+    end = time.time()
+    print("Time elapsed : ", round((end - start)/60,2),"mins")
     print("[============TASK COHORT SUCCESSFULLY CREATED============]")
 
 if __name__ == '__main__':