Update data_generation_icu_modify.py
Browse files- data_generation_icu_modify.py +13 -13
data_generation_icu_modify.py
CHANGED
@@ -21,8 +21,8 @@ class Generator():
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self.impute=impute
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self.task = task
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self.data = self.generate_adm()
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if not os.path.exists("./data/dict/"+self.
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os.makedirs("./data/dict/"+self.
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print("[ READ COHORT ]")
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self.generate_feat()
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@@ -529,53 +529,53 @@ class Generator():
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######SAVE DICTIONARIES##############
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metaDic={'Cond':{},'Proc':{},'Med':{},'Out':{},'Chart':{},'LOS':{}}
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metaDic['LOS']=los
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with open("./data/dict/dataDic", 'wb') as fp:
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pickle.dump(dataDic, fp)
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with open("./data/dict/hadmDic", 'wb') as fp:
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pickle.dump(self.hids, fp)
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with open("./data/dict/ethVocab", 'wb') as fp:
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pickle.dump(list(self.data['ethnicity'].unique()), fp)
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self.eth_vocab = self.data['ethnicity'].nunique()
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with open("./data/dict/ageVocab", 'wb') as fp:
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pickle.dump(list(self.data['Age'].unique()), fp)
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self.age_vocab = self.data['Age'].nunique()
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with open("./data/dict/insVocab", 'wb') as fp:
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pickle.dump(list(self.data['insurance'].unique()), fp)
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self.ins_vocab = self.data['insurance'].nunique()
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if(self.feat_med):
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with open("./data/dict/medVocab", 'wb') as fp:
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pickle.dump(list(meds['itemid'].unique()), fp)
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self.med_vocab = meds['itemid'].nunique()
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metaDic['Med']=self.med_per_adm
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if(self.feat_out):
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with open("./data/dict/outVocab", 'wb') as fp:
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pickle.dump(list(out['itemid'].unique()), fp)
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self.out_vocab = out['itemid'].nunique()
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metaDic['Out']=self.out_per_adm
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if(self.feat_chart):
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with open("./data/dict/chartVocab", 'wb') as fp:
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pickle.dump(list(chart['itemid'].unique()), fp)
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self.chart_vocab = chart['itemid'].nunique()
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metaDic['Chart']=self.chart_per_adm
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if(self.feat_cond):
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with open("./data/dict/condVocab", 'wb') as fp:
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pickle.dump(list(self.cond['new_icd_code'].unique()), fp)
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self.cond_vocab = self.cond['new_icd_code'].nunique()
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metaDic['Cond']=self.cond_per_adm
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if(self.feat_proc):
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with open("./data/dict/procVocab", 'wb') as fp:
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pickle.dump(list(proc['itemid'].unique()), fp)
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self.proc_vocab = proc['itemid'].nunique()
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metaDic['Proc']=self.proc_per_adm
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with open("./data/dict/metaDic", 'wb') as fp:
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pickle.dump(metaDic, fp)
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self.impute=impute
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self.task = task
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self.data = self.generate_adm()
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if not os.path.exists("./data/dict/"+self.task):
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os.makedirs("./data/dict/"+self.task)
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print("[ READ COHORT ]")
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self.generate_feat()
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######SAVE DICTIONARIES##############
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metaDic={'Cond':{},'Proc':{},'Med':{},'Out':{},'Chart':{},'LOS':{}}
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metaDic['LOS']=los
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with open("./data/dict/"+self.task+"/dataDic", 'wb') as fp:
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pickle.dump(dataDic, fp)
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with open("./data/dict/"+self.task+"/hadmDic", 'wb') as fp:
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pickle.dump(self.hids, fp)
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with open("./data/dict/"+self.task+"/ethVocab", 'wb') as fp:
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pickle.dump(list(self.data['ethnicity'].unique()), fp)
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self.eth_vocab = self.data['ethnicity'].nunique()
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with open("./data/dict/"+self.task+"/ageVocab", 'wb') as fp:
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pickle.dump(list(self.data['Age'].unique()), fp)
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self.age_vocab = self.data['Age'].nunique()
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with open("./data/dict/"+self.task+"/insVocab", 'wb') as fp:
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pickle.dump(list(self.data['insurance'].unique()), fp)
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self.ins_vocab = self.data['insurance'].nunique()
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if(self.feat_med):
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with open("./data/dict/"+self.task+"/medVocab", 'wb') as fp:
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pickle.dump(list(meds['itemid'].unique()), fp)
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self.med_vocab = meds['itemid'].nunique()
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metaDic['Med']=self.med_per_adm
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if(self.feat_out):
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with open("./data/dict/"+self.task+"/outVocab", 'wb') as fp:
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pickle.dump(list(out['itemid'].unique()), fp)
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self.out_vocab = out['itemid'].nunique()
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metaDic['Out']=self.out_per_adm
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if(self.feat_chart):
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with open("./data/dict/"+self.task+"/chartVocab", 'wb') as fp:
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pickle.dump(list(chart['itemid'].unique()), fp)
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self.chart_vocab = chart['itemid'].nunique()
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metaDic['Chart']=self.chart_per_adm
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if(self.feat_cond):
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with open("./data/dict/"+self.task+"/condVocab", 'wb') as fp:
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pickle.dump(list(self.cond['new_icd_code'].unique()), fp)
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self.cond_vocab = self.cond['new_icd_code'].nunique()
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metaDic['Cond']=self.cond_per_adm
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if(self.feat_proc):
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with open("./data/dict/"+self.task+"/procVocab", 'wb') as fp:
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pickle.dump(list(proc['itemid'].unique()), fp)
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self.proc_vocab = proc['itemid'].nunique()
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metaDic['Proc']=self.proc_per_adm
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with open("./data/dict/"+self.task+"/metaDic", 'wb') as fp:
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pickle.dump(metaDic, fp)
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