Upload app.py

app.py

@@ -43,7 +43,7 @@ x3 = pd.DataFrame(x3['train'])
 variables3 = ['Age', 'Sex', 'Ethnicity', 'Weight', 'Height', 'Systolic_Blood_Pressure', 'Pulse_Rate', 'Supplemental_Oxygen', 'Pulse_Oximetry', 'Respiratory_Assistance', 'Respiratory_Rate', 'Temperature', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Bleeding_Localization', 'Bleeding_Size', 'Current_Smoker', 'Alcohol_Use_Disorder', 'Substance_Abuse_Disorder', 'Diabetes_Mellitus', 'Hypertension', 'Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Peripheral_Arterial_Disease', 'Chronic_Obstructive_Pulmonary_Disease', 'Chronic_Renal_Failure', 'Cirrhosis', 'Bleeding_Disorder', 'Disseminated_Cancer', 'Currently_Receiving_Chemotherapy_for_Cancer', 'Dementia', 'Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'Blood_Transfusion', 'Neurosurgical_Intervention', 'Alcohol_Screen', 'Alcohol_Screen_Result', 'Drug_Screen__Amphetamine', 'Drug_Screen__Barbiturate', 'Drug_Screen__Benzodiazepines', 'Drug_Screen__Cannabinoid', 'Drug_Screen__Cocaine', 'Drug_Screen__MDMA_or_Ecstasy', 'Drug_Screen__Methadone', 'Drug_Screen__Methamphetamine', 'Drug_Screen__Opioid', 'Drug_Screen__Oxycodone', 'Drug_Screen__Phencyclidine', 'Drug_Screen__Tricyclic_Antidepressant', 'ACS_Verification_Level', 'Hospital_Type', 'Facility_Bed_Size', 'Primary_Method_of_Payment', 'Race', 'Protective_Device', 'Cerebral_Monitoring', 'OUTCOME']
 x3 = x3[variables3]
 
-x4 = load_dataset("mertkarabacak/TQP-atEDH", data_files="iculos_data.csv", use_auth_token = HF_TOKEN)
+x4 = load_dataset("mertkarabacak/TQP-atEDH", data_files="iculos_data_train.csv", use_auth_token = HF_TOKEN)
 x4 = pd.DataFrame(x4['train'])
 variables4 = ['Age', 'Sex', 'Ethnicity', 'Weight', 'Height', 'Systolic_Blood_Pressure', 'Pulse_Rate', 'Supplemental_Oxygen', 'Pulse_Oximetry', 'Respiratory_Assistance', 'Respiratory_Rate', 'Temperature', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Bleeding_Localization', 'Bleeding_Size', 'Current_Smoker', 'Alcohol_Use_Disorder', 'Substance_Abuse_Disorder', 'Diabetes_Mellitus', 'Hypertension', 'Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Peripheral_Arterial_Disease', 'Chronic_Obstructive_Pulmonary_Disease', 'Chronic_Renal_Failure', 'Cirrhosis', 'Bleeding_Disorder', 'Disseminated_Cancer', 'Currently_Receiving_Chemotherapy_for_Cancer', 'Dementia', 'Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'Blood_Transfusion', 'Neurosurgical_Intervention', 'Alcohol_Screen', 'Alcohol_Screen_Result', 'Drug_Screen__Amphetamine', 'Drug_Screen__Barbiturate', 'Drug_Screen__Benzodiazepines', 'Drug_Screen__Cannabinoid', 'Drug_Screen__Cocaine', 'Drug_Screen__MDMA_or_Ecstasy', 'Drug_Screen__Methadone', 'Drug_Screen__Methamphetamine', 'Drug_Screen__Opioid', 'Drug_Screen__Oxycodone', 'Drug_Screen__Phencyclidine', 'Drug_Screen__Tricyclic_Antidepressant', 'ACS_Verification_Level', 'Hospital_Type', 'Facility_Bed_Size', 'Primary_Method_of_Payment', 'Race', 'Protective_Device', 'Cerebral_Monitoring', 'OUTCOME']
 x4 = x4[variables4]