Update Mimic4Dataset.py
Browse files- Mimic4Dataset.py +3 -6
Mimic4Dataset.py
CHANGED
@@ -435,15 +435,12 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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df = pd.DataFrame.from_dict(dico, orient='index')
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for i, data in df.iterrows():
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concat_cols=[]
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dyn_df,cond_df,demo=concat_data(data,self.config.name.replace(" ","_"),self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_meds,self.feat_lab)
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dyn=dyn_df.copy()
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dyn.columns=dyn.columns.droplevel(0)
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cols=dyn.columns
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time=dyn.shape[0]
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for t in range(
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cols_t = [str(x) + "_"+str(t) for x in cols]
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concat_cols.extend(cols_t)
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demo['gender']=gen_encoder.transform(demo['gender'])
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demo['ethnicity']=eth_encoder.transform(demo['ethnicity'])
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demo['insurance']=ins_encoder.transform(demo['insurance'])
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df = pd.DataFrame.from_dict(dico, orient='index')
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for i, data in df.iterrows():
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dyn_df,cond_df,demo=concat_data(data,self.config.name.replace(" ","_"),self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_meds,self.feat_lab)
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dyn=dyn_df.copy()
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dyn.columns=dyn.columns.droplevel(0)
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#cols=dyn.columns
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#time=dyn.shape[0]
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concat_cols = [f"{col}_{t}" for t in range(dyn.shape[0]) for col in dyn.columns]
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demo['gender']=gen_encoder.transform(demo['gender'])
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demo['ethnicity']=eth_encoder.transform(demo['ethnicity'])
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demo['insurance']=ins_encoder.transform(demo['insurance'])
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