Update dataset_utils.py
Browse files- dataset_utils.py +6 -1
dataset_utils.py
CHANGED
@@ -85,6 +85,11 @@ def concat_data(data,interval,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,
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charts = data['Chart']
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cond= data['Cond']['fids']
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#demographic
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demo=pd.DataFrame(columns=['Age','gender','ethnicity','label','insurance'])
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new_row = {'Age': data['age'], 'gender': data['gender'], 'ethnicity': data['ethnicity'], 'label': data['label'], 'insurance': data['insurance']}
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@@ -260,7 +265,7 @@ def generate_text(data,icd,items,feat_cond,feat_chart,feat_meds, feat_proc, feat
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conds = data.get('Cond', {}).get('fids', [])
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conds=[icd[icd['icd_code'] == code]['long_title'].to_string(index=False) for code in conds if not icd[icd['icd_code'] == code].empty]
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cond_text = '; '.join(conds)
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-
cond_text = f"The patient {ethn} {gender}, {age} years old, covered by {ins} was diagnosed with {cond_text}. " if cond_text else ''
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else:
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cond_text = ''
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charts = data['Chart']
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cond= data['Cond']['fids']
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proc_df=pd.DataFrame()
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out_df=pd.DataFrame()
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cond_df=pd.DataFrame()
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chart_df=pd.DataFrame()
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meds_df=pd.DataFrame()
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#demographic
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demo=pd.DataFrame(columns=['Age','gender','ethnicity','label','insurance'])
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new_row = {'Age': data['age'], 'gender': data['gender'], 'ethnicity': data['ethnicity'], 'label': data['label'], 'insurance': data['insurance']}
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conds = data.get('Cond', {}).get('fids', [])
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conds=[icd[icd['icd_code'] == code]['long_title'].to_string(index=False) for code in conds if not icd[icd['icd_code'] == code].empty]
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cond_text = '; '.join(conds)
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+
cond_text = f"The patient ({ethn} {gender}, {age} years old, covered by {ins}) was diagnosed with {cond_text}. " if cond_text else ''
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else:
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cond_text = ''
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