Update Mimic4Dataset.py
Browse files- Mimic4Dataset.py +8 -10
Mimic4Dataset.py
CHANGED
@@ -106,7 +106,6 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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print('mimic_complete_path : ',mimic_complete_path)
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print('mimic_folder : ',mimic_folder)
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print('self.mimic_path : ',self.mimic_path)
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print('version : ',version)
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current_directory = os.getcwd()
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if os.path.exists(os.path.dirname(current_directory)+'/MIMIC-IV-Data-Pipeline-main'):
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@@ -157,6 +156,7 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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timeW = config['timeWindow']
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self.timeW=int(timeW.split()[1])
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self.bucket = config['timebucket']
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self.data_icu = config['icu_no_icu']=='ICU'
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if self.data_icu:
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@@ -208,31 +208,29 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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train_path = dict_dir+'/train_data.pkl'
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test_path = dict_dir+'/test_data.pkl'
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with open(train_path, 'wb') as f:
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pickle.dump(train_dic, f)
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with open(test_path, 'wb') as f:
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pickle.dump(test_dic, f)
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return dict_dir
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def verif_dim_tensor(self, proc, out, chart, meds, lab):
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verif=True
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if self.feat_proc:
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if (len(proc)
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verif=False
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if self.feat_out:
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if (len(out)
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verif=False
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if self.feat_chart:
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if (len(chart)
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verif=False
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if self.feat_meds:
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if (len(meds)
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verif=False
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if self.feat_lab:
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if (len(lab)
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verif=False
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return verif
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@@ -449,7 +447,7 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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X= generate_ml(dyn_df,cond_df,demo,concat_cols,self.concat)
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X=X.values.tolist()[0]
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size_concat = self.size_cond+ self.size_proc * ((self.timeW//self.bucket)
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size_aggreg = self.size_cond+ self.size_proc + self.size_meds+ self.size_out+ self.size_chart+ self.size_lab + 4
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if (len(X)==size_concat or len(X)==size_aggreg):
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print('mimic_complete_path : ',mimic_complete_path)
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print('mimic_folder : ',mimic_folder)
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print('self.mimic_path : ',self.mimic_path)
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current_directory = os.getcwd()
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if os.path.exists(os.path.dirname(current_directory)+'/MIMIC-IV-Data-Pipeline-main'):
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timeW = config['timeWindow']
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self.timeW=int(timeW.split()[1])
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self.bucket = config['timebucket']
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+
self.predW = config['predW']
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self.data_icu = config['icu_no_icu']=='ICU'
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if self.data_icu:
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train_path = dict_dir+'/train_data.pkl'
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test_path = dict_dir+'/test_data.pkl'
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with open(train_path, 'wb') as f:
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pickle.dump(train_dic, f)
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with open(test_path, 'wb') as f:
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pickle.dump(test_dic, f)
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return dict_dir
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+
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def verif_dim_tensor(self, proc, out, chart, meds, lab):
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verif=True
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if self.feat_proc:
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if (len(proc)!=((self.timeW + self.predW)//self.bucket)):
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verif=False
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if self.feat_out:
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if (len(out)!=((self.timeW + self.predW)//self.bucket)):
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verif=False
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if self.feat_chart:
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if (len(chart)!=((self.timeW + self.predW)//self.bucket)):
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verif=False
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if self.feat_meds:
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if (len(meds)!=((self.timeW + self.predW)//self.bucket)):
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verif=False
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if self.feat_lab:
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if (len(lab)!=((self.timeW + self.predW)//self.bucket)):
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verif=False
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return verif
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X= generate_ml(dyn_df,cond_df,demo,concat_cols,self.concat)
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X=X.values.tolist()[0]
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size_concat = self.size_cond+ self.size_proc * ((self.timeW + self.predW)//self.bucket) + self.size_meds * ((self.timeW + self.predW)//self.bucket)+ self.size_out * ((self.timeW + self.predW)//self.bucket)+ self.size_chart * ((self.timeW + self.predW)//self.bucket)+ self.size_lab * ((self.timeW + self.predW)//self.bucket) + 4
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size_aggreg = self.size_cond+ self.size_proc + self.size_meds+ self.size_out+ self.size_chart+ self.size_lab + 4
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if (len(X)==size_concat or len(X)==size_aggreg):
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