Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -523,24 +523,23 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
        )
 
     def  _generate_examples_text(self, filepath):
-    df = pd.read_csv('icd10.txt',sep=';', header=0)
-    with open(filepath, 'rb') as fp:
-            dico = pickle.load(fp)
-    for key, data in dico.items():
-        conds = data['Cond']['fids']
-        text=[]
-        for code in conds:
-            desc = df.where((df['icd10'].apply(lambda x: code >= x[:3]) & df['icd10'].apply(lambda x: code <= x[4:]))).dropna()
-            if not desc.empty:
-                desc = desc['description'].to_string(index=False)
-                text.append(desc)
-        template = 'The patient is diagnosed with {}.'
-        text = template.format('; '.join(text))
-        
-        yield int(key),{
-            'label' : data['label'],
-            'COND': text,
-        }
+        icd = pd.read_csv('icd10.txt',names=['code','description'],sep='\t')
+        with open(filepath, 'rb') as fp:
+                dico = pickle.load(fp)
+        for key, data in dico.items():
+            conds = data['Cond']['fids']
+            text=[]
+            for code in conds:
+                desc = icd[icd['code']==code]
+                if not desc.empty:
+                    text.append(desc['description'].to_string(index=False))
+            template = 'The patient is diagnosed with {}.'
+            text = template.format('; '.join(text))
+            
+            yield int(key),{
+                'label' : data['label'],
+                'COND': text,
+            }
 #############################################################################################################################
     def _info(self):
         self.path = self.init_cohort()