thbndi commited on
Commit
a574fe8
1 Parent(s): 9c4eb26

Update Mimic4Dataset.py

Browse files
Files changed (1) hide show
  1. Mimic4Dataset.py +8 -17
Mimic4Dataset.py CHANGED
@@ -93,7 +93,7 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
93
 
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  DEFAULT_CONFIG_NAME = "Mortality"
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- def create_cohort(self):
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  if self.config_path==None:
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  if self.config.name == 'Phenotype' : self.config_path = _CONFIG_URLS['phenotype']
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  if self.config.name == 'Readmission' : self.config_path = _CONFIG_URLS['readmission']
@@ -147,17 +147,17 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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  shutil.move(file_path,'./config')
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  with open(self.conf) as f:
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  config = yaml.safe_load(f)
 
 
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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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  self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out, self.lab = config['diagnosis'], config['chart'], config['proc'], config['meds'], config['output'], False
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- self.feat_lab = False
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  else:
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  self.feat_cond, self.feat_lab, self.feat_proc, self.feat_meds, self.feat_chart, self.out = config['diagnosis'], config['lab'], config['proc'], config['meds'], False, False
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- self.feat_out = False
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- self.feat_chart = False
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  #####################downloads modules from hub
@@ -499,20 +499,14 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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  'PROC': proc,
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  'CHART/LAB': lab,
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  'OUT': out,
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- }
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- else:
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- continue
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-
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  #############################################################################################################################
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  def _info(self):
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- self.path = self.create_cohort()
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  self.size_cond, self.size_proc, self.size_meds, self.size_out, self.size_chart, self.size_lab, eth_vocab,gender_vocab,age_vocab,ins_vocab=vocab(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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- if self.encoding == 'concat' :
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- return self._info_encoded()
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-
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- elif self.encoding == 'aggreg' :
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  return self._info_encoded()
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  elif self.encoding == 'tensor' :
@@ -538,10 +532,7 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
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  def _generate_examples(self, filepath):
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- if self.encoding == 'concat' :
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- yield from self._generate_examples_encoded(filepath)
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-
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- elif self.encoding == 'aggreg' :
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  yield from self._generate_examples_encoded(filepath)
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  elif self.encoding == 'tensor' :
 
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  DEFAULT_CONFIG_NAME = "Mortality"
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+ def init_cohort(self):
97
  if self.config_path==None:
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  if self.config.name == 'Phenotype' : self.config_path = _CONFIG_URLS['phenotype']
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  if self.config.name == 'Readmission' : self.config_path = _CONFIG_URLS['readmission']
 
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  shutil.move(file_path,'./config')
148
  with open(self.conf) as f:
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  config = yaml.safe_load(f)
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+
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+
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  timeW = config['timeWindow']
153
  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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+
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  if self.data_icu:
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  self.feat_cond, self.feat_chart, self.feat_proc, self.feat_meds, self.feat_out, self.lab = config['diagnosis'], config['chart'], config['proc'], config['meds'], config['output'], False
 
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  else:
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  self.feat_cond, self.feat_lab, self.feat_proc, self.feat_meds, self.feat_chart, self.out = config['diagnosis'], config['lab'], config['proc'], config['meds'], False, False
 
 
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162
 
163
  #####################downloads modules from hub
 
499
  'PROC': proc,
500
  'CHART/LAB': lab,
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  'OUT': out,
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+ }
 
 
 
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504
  #############################################################################################################################
505
  def _info(self):
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+ self.path = self.init_cohort()
507
  self.size_cond, self.size_proc, self.size_meds, self.size_out, self.size_chart, self.size_lab, eth_vocab,gender_vocab,age_vocab,ins_vocab=vocab(self.config.name.replace(" ","_"),self.feat_cond,self.feat_proc,self.feat_out,self.feat_chart,self.feat_meds,self.feat_lab)
508
 
509
+ if (self.encoding == 'concat' or self.encoding =='aggreg'):
 
 
 
510
  return self._info_encoded()
511
 
512
  elif self.encoding == 'tensor' :
 
532
 
533
  def _generate_examples(self, filepath):
534
 
535
+ if (self.encoding == 'concat' or self.encoding == 'aggreg'):
 
 
 
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  yield from self._generate_examples_encoded(filepath)
537
 
538
  elif self.encoding == 'tensor' :