Upload app.py

app.py

@@ -28,29 +28,29 @@ from datasets import load_dataset
 
 
 #Read data.
-x1 = load_dataset("mertkarabacak/NTDB-Epidural", data_files="mortality_data.csv", use_auth_token = HF_TOKEN)
+x1 = load_dataset("mertkarabacak/TQP-atEDH", data_files="mortality_data_train.csv", use_auth_token = HF_TOKEN)
 x1 = pd.DataFrame(x1['train'])
-variables1 = ['Age', 'Sex', 'Ethnicity', 'Weight', 'Height', 'Systolic_Blood_Pressure', 'Pulse_Rate', 'Supplemental_Oxygen', 'Pulse_Oximetry', 'Respiratory_Assistance', 'Respiratory_Rate', 'Temperature', 'PreHospital_Cardiac_Arrest', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Current_Smoker', 'Comorbid_Condition__Alcohol_Use_Disorder', 'Comorbid_Condition__Substance_Abuse_Disorder', 'Comorbid_Condition__Diabetes_Mellitus', 'Comorbid_Condition__Hypertension', 'Comorbid_Condition__Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Comorbid_Condition__Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Comorbid_Condition__Peripheral_Arterial_Disease', 'Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease', 'Comorbid_Condition__Chronic_Renal_Failure', 'Comorbid_Condition__Cirrhosis', 'Comorbid_Condition__Bleeding_Disorder', 'Comorbid_Condition__Disseminated_Cancer', 'Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer', 'Comorbid_Condition__Dementia', 'Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Comorbid_Condition__Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Advanced_Directive_Limiting_Care', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Head', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Face', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions', 'AIS_derived_ISS', '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', 'Cerebral_Monitoring', 'Protective_Device', 'OUTCOME']
+variables1 = ['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']
 x1 = x1[variables1]
 
-x2 = load_dataset("mertkarabacak/NTDB-Epidural", data_files="discharge_data.csv", use_auth_token = HF_TOKEN)
+x2 = load_dataset("mertkarabacak/TQP-atEDH", data_files="discharge_data_train.csv", use_auth_token = HF_TOKEN)
 x2 = pd.DataFrame(x2['train'])
-variables2= ['Age', 'Sex', 'Ethnicity', 'Weight', 'Height', 'Systolic_Blood_Pressure', 'Pulse_Rate', 'Supplemental_Oxygen', 'Pulse_Oximetry', 'Respiratory_Assistance', 'Respiratory_Rate', 'Temperature', 'PreHospital_Cardiac_Arrest', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Current_Smoker', 'Comorbid_Condition__Alcohol_Use_Disorder', 'Comorbid_Condition__Substance_Abuse_Disorder', 'Comorbid_Condition__Diabetes_Mellitus', 'Comorbid_Condition__Hypertension', 'Comorbid_Condition__Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Comorbid_Condition__Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Comorbid_Condition__Peripheral_Arterial_Disease', 'Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease', 'Comorbid_Condition__Chronic_Renal_Failure', 'Comorbid_Condition__Cirrhosis', 'Comorbid_Condition__Bleeding_Disorder', 'Comorbid_Condition__Disseminated_Cancer', 'Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer', 'Comorbid_Condition__Dementia', 'Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Comorbid_Condition__Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Advanced_Directive_Limiting_Care', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Head', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Face', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions', 'AIS_derived_ISS', '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', 'Cerebral_Monitoring', 'Protective_Device', 'OUTCOME']
+variables2= ['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']
 x2 = x2[variables2]
 
-x3 = load_dataset("mertkarabacak/NTDB-Epidural", data_files="los_data.csv", use_auth_token = HF_TOKEN)
+x3 = load_dataset("mertkarabacak/TQP-atEDH", data_files="los_data_train.csv", use_auth_token = HF_TOKEN)
 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', 'PreHospital_Cardiac_Arrest', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Current_Smoker', 'Comorbid_Condition__Alcohol_Use_Disorder', 'Comorbid_Condition__Substance_Abuse_Disorder', 'Comorbid_Condition__Diabetes_Mellitus', 'Comorbid_Condition__Hypertension', 'Comorbid_Condition__Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Comorbid_Condition__Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Comorbid_Condition__Peripheral_Arterial_Disease', 'Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease', 'Comorbid_Condition__Chronic_Renal_Failure', 'Comorbid_Condition__Cirrhosis', 'Comorbid_Condition__Bleeding_Disorder', 'Comorbid_Condition__Disseminated_Cancer', 'Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer', 'Comorbid_Condition__Dementia', 'Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Comorbid_Condition__Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Advanced_Directive_Limiting_Care', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Head', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Face', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions', 'AIS_derived_ISS', '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', 'Cerebral_Monitoring', 'Protective_Device', 'OUTCOME']
+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/NTDB-Epidural", data_files="iculos_data.csv", use_auth_token = HF_TOKEN)
+x4 = load_dataset("mertkarabacak/TQP-atEDH", data_files="iculos_data.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', 'PreHospital_Cardiac_Arrest', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Current_Smoker', 'Comorbid_Condition__Alcohol_Use_Disorder', 'Comorbid_Condition__Substance_Abuse_Disorder', 'Comorbid_Condition__Diabetes_Mellitus', 'Comorbid_Condition__Hypertension', 'Comorbid_Condition__Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Comorbid_Condition__Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Comorbid_Condition__Peripheral_Arterial_Disease', 'Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease', 'Comorbid_Condition__Chronic_Renal_Failure', 'Comorbid_Condition__Cirrhosis', 'Comorbid_Condition__Bleeding_Disorder', 'Comorbid_Condition__Disseminated_Cancer', 'Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer', 'Comorbid_Condition__Dementia', 'Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Comorbid_Condition__Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Advanced_Directive_Limiting_Care', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Head', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Face', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions', 'AIS_derived_ISS', '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', 'Cerebral_Monitoring', 'Protective_Device', 'OUTCOME']
+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]
 
-x5 = load_dataset("mertkarabacak/NTDB-Epidural", data_files="complications_data.csv", use_auth_token = HF_TOKEN)
+x5 = load_dataset("mertkarabacak/TQP-atEDH", data_files="complications_data_train.csv", use_auth_token = HF_TOKEN)
 x5 = pd.DataFrame(x5['train'])
-variables5 = ['Age', 'Sex', 'Ethnicity', 'Weight', 'Height', 'Systolic_Blood_Pressure', 'Pulse_Rate', 'Supplemental_Oxygen', 'Pulse_Oximetry', 'Respiratory_Assistance', 'Respiratory_Rate', 'Temperature', 'PreHospital_Cardiac_Arrest', 'GCS__Eye', 'GCS__Verbal', 'GCS__Motor', 'Total_GCS', 'Pupillary_Response', 'Midline_Shift', 'Current_Smoker', 'Comorbid_Condition__Alcohol_Use_Disorder', 'Comorbid_Condition__Substance_Abuse_Disorder', 'Comorbid_Condition__Diabetes_Mellitus', 'Comorbid_Condition__Hypertension', 'Comorbid_Condition__Congestive_Heart_Failure', 'History_of_Myocardial_Infarction', 'Comorbid_Condition__Angina_Pectoris', 'History_of_Cerebrovascular_Accident', 'Comorbid_Condition__Peripheral_Arterial_Disease', 'Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease', 'Comorbid_Condition__Chronic_Renal_Failure', 'Comorbid_Condition__Cirrhosis', 'Comorbid_Condition__Bleeding_Disorder', 'Comorbid_Condition__Disseminated_Cancer', 'Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer', 'Comorbid_Condition__Dementia', 'Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder', 'Comorbid_Condition__Mental_or_Personality_Disorder', 'Ability_to_Complete_AgeAppropriate_ADL', 'Pregnancy', 'Anticoagulant_Therapy', 'Steroid_Use', 'Advanced_Directive_Limiting_Care', 'Days_from_Incident_to_ED_or_Hospital_Arrival', 'Transport_Mode', 'InterFacility_Transfer', 'Trauma_Type', 'Injury_Intent', 'Mechanism_of_Injury', 'WorkRelated', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Head', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Face', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity', 'AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions', 'AIS_derived_ISS', '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', 'Cerebral_Monitoring', 'Protective_Device', 'OUTCOME']
+variables5 = ['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']
 x5 = x5[variables5]
 
 #Define feature names.
@@ -81,42 +81,42 @@ unique_RACE = ['White', 'Black', 'Asian', 'American Indian', 'Pacific Islander',
 unique_ETHNICITY = ['Not Hispanic or Latino', 'Hispanic or Latino', 'Unknown']
 unique_SUPPLEMENTALOXYGEN = ['No supplemental oxygen', 'Supplemental oxygen', 'Unknown']
 unique_RESPIRATORYASSISTANCE = ['Unassisted respiratory rate', 'Assisted respiratory rate', 'Unknown']
-unique_PREHOSPITALCARDIACARREST = ['No', 'Yes', 'Unknown']
-unique_TBIMIDLINESHIFT = ['No', 'Yes', 'Not imaged/unknown']
 unique_TBIPUPILLARYRESPONSE = ['Both reactive', 'One reactive', 'Neither reactive', 'Unknown']
-unique_CC_ADHD = ['No', 'Yes', 'Unknown']
-unique_CC_ADLC = ['No', 'Yes', 'Unknown']
+unique_TBIMIDLINESHIFT = ['No', 'Yes', 'Not imaged/unknown']
+unique_LOCALIZATION = ['Supratentorial', 'Infratentorial']
+unique_SIZE = ['Large, massive, or extensive (more than 30cc, more than 1cm thick', 'Small or moderate (less than 30cc or 0.6-1cm thick)', 'Tiny (less than 0.6cm thick)', 'Bilateral small or moderate (less than 30cc or 0.6-1cm thick)', 'Bilateral large, massive, or extensive (more than 30cc, more than 1cm thick)']
+unique_CC_SMOKING = ['No', 'Yes', 'Unknown']
 unique_CC_ALCOHOLISM = ['No', 'Yes', 'Unknown']
-unique_CC_ANGINAPECTORIS = ['No', 'Yes', 'Unknown']
-unique_CC_ANTICOAGULANT = ['No', 'Yes', 'Unknown']
-unique_CC_BLEEDING = ['No', 'Yes', 'Unknown']
-unique_CC_CHEMO = ['No', 'Yes', 'Unknown']
-unique_CC_CHF = ['No', 'Yes', 'Unknown']
-unique_CC_CIRRHOSIS = ['No', 'Yes', 'Unknown']
-unique_CC_COPD = ['No', 'Yes', 'Unknown']
-unique_CC_CVA = ['No', 'Yes', 'Unknown']
-unique_CC_DEMENTIA = ['No', 'Yes', 'Unknown']
+unique_CC_SUBSTANCEABUSE = ['No', 'Yes', 'Unknown']
 unique_CC_DIABETES = ['No', 'Yes', 'Unknown']
-unique_CC_DISCANCER = ['No', 'Yes', 'Unknown']
-unique_CC_FUNCTIONAL = ['No', 'Yes', 'Unknown']
 unique_CC_HYPERTENSION = ['No', 'Yes', 'Unknown']
-unique_CC_MENTALPERSONALITY = ['No', 'Yes', 'Unknown']
+unique_CC_CHF = ['No', 'Yes', 'Unknown']
 unique_CC_MI = ['No', 'Yes', 'Unknown']
+unique_CC_ANGINAPECTORIS = ['No', 'Yes', 'Unknown']
+unique_CC_CVA = ['No', 'Yes', 'Unknown']
 unique_CC_PAD = ['No', 'Yes', 'Unknown']
+unique_CC_COPD = ['No', 'Yes', 'Unknown']
 unique_CC_RENAL = ['No', 'Yes', 'Unknown']
-unique_CC_SMOKING = ['No', 'Yes', 'Unknown']
-unique_CC_STEROID = ['No', 'Yes', 'Unknown']
-unique_CC_SUBSTANCEABUSE = ['No', 'Yes', 'Unknown']
+unique_CC_CIRRHOSIS = ['No', 'Yes', 'Unknown']
+unique_CC_BLEEDING = ['No', 'Yes', 'Unknown']
+unique_CC_DISCANCER = ['No', 'Yes', 'Unknown']
+unique_CC_CHEMO = ['No', 'Yes', 'Unknown']
+unique_CC_DEMENTIA = ['No', 'Yes', 'Unknown']
+unique_CC_ADHD = ['No', 'Yes', 'Unknown']
+unique_CC_MENTALPERSONALITY = ['No', 'Yes', 'Unknown']
+unique_CC_FUNCTIONAL = ['No', 'Yes', 'Unknown']
 unique_CC_PREGNANCY = ['No', 'Yes', 'Unknown', 'Not applicable (male patient)']
-unique_TRANSPORTMODE = ['Ground ambulance', 'Private vehicle/public vehicle/walk-in', 'Air ambulance', 'Police', 'Other/unknown']
+unique_CC_ANTICOAGULANT = ['No', 'Yes', 'Unknown']
+unique_CC_STEROID = ['No', 'Yes', 'Unknown']
+unique_TRANSPORTMODE = ['Ground ambulance', 'Private vehicle/public vehicle/walk-in', 'Air ambulance', 'Other/police/unknown/etc.']
 unique_INTERFACILITYTRANSFER = ['No', 'Yes']
 unique_TRAUMATYPE = ['Blunt', 'Penetrating', 'Other/unknown']
-unique_INTENT = ['Unintentional', 'Assault', 'Self-inflicted', 'Other/undetermined/unknown']
+unique_INTENT = ['Unintentional', 'Assault', 'Self-inflicted', 'Other/unknown']
 unique_MECHANISM = ['Fall', 'Struck by or against', 'MVT occupant', 'MVT pedestrian', 'MVT motorcyclist', 'MVT pedal cyclist', 'Other MVT', 'Other transport', 'Other pedestrian', 'Other pedal cyclist', 'Firearm', 'Cut/pierce', 'Natural/environmental', 'Machinery', 'Overexertion', 'Other/unspecified/unknown']
-unique_PROTDEV = ['None', 'Airbag present', 'Helmet', 'Lap belt', 'Shoulder Belt', 'Protective clothing', 'Protective non-clothing gear', 'Eye protection', 'Unknown']
-unique_WORKRELATED = ['No', 'Yes (Unknown)', 'Yes (Construction and Extraction Occupations)', 'Yes (Transportation and Material Moving Occupations)', 'Yes (Installation, Maintenance, and Repair Occupations)', 'Yes (Farming, Fishing, and Forestry Occupations)', 'Yes (Building and Grounds Cleaning and Maintenance)', 'Yes (Food Preparation and Serving Related)', 'Yes (Production Occupations)', 'Yes (Sales and Related Occupations)', 'Yes (Arts, Design, Entertainment, Sports, and Media)', 'Yes (Military Specific Occupations)', 'Yes (Healthcare Practitioners and Technical Occupations)', 'Yes (Management Occupations)', 'Yes (Protective Service Occupations)', 'Yes (Education, Training, and Library Occupations)', 'Yes (Office and Administrative Support Occupations)', 'Yes (Computer and Mathematical Occupations)', 'Yes (Legal Occupations)', 'Yes (Personal Care and Service Occupations)']
+unique_PROTDEV = ['None', 'Belt', 'Airbag present', 'Helmet', 'Protective clothing', 'Protective non-clothing gear', 'Eye protection', 'Other']
+unique_WORKRELATED = ['No', 'Yes']
 unique_INTERVENTION = ['No', 'Yes']
-unique_ICP = ['None', 'Intraventricular drain or catheter (e.g. ventriculostomy, external ventricular drain)', 'Intraparenchymal pressure monitor (e.g. Camino bolt, subarachnoid bolt, intraparenchymal catheter)', 'Jugular venous bulb', 'Intraparenchymal oxygen monitor (e.g. Licox)', 'Unknown']
+unique_ICP = ['None', 'Intraventricular drain/catheter', 'Intraparenchymal oxygen/pressure monitor', 'Jugular venous bulb', 'Unknown']
 unique_ALCOHOLSCREEN = ['Yes', 'No', 'Unknown']
 unique_ANTIBIOTICTHERAPY = ['Yes', 'No', 'Unknown']
 unique_DRGSCR_AMPHETAMINE = ['Not tested', 'No', 'Yes']
@@ -134,7 +134,7 @@ unique_DRGSCR_TRICYCLICDEPRESS = ['Not tested', 'No', 'Yes']
 unique_VERIFICATIONLEVEL = ['Level I Trauma Center', 'Level II Trauma Center', 'Level III Trauma Center', 'Unknown']
 unique_HOSPITALTYPE = ['Non-profit', 'For profit', 'Government', 'Unknown']
 unique_BEDSIZE = ['More than 600', '401 to 600', '201 to 400', '200 or fewer']
-unique_PRIMARYMETHODPAYMENT = ['Private/commercial insurance', 'Medicaid', 'Medicare', 'Other government', 'Self-pay',  'Other', 'Not billed', 'Unknown']
+unique_PRIMARYMETHODPAYMENT = ['Private/commercial insurance', 'Medicaid', 'Medicare', 'Other government', 'Self-pay',  'Other/Unknown']
 
 
 #Prepare data for the outcome 1 (mortality).
@@ -224,30 +224,31 @@ x5_rf = x5_rf.astype(d5)
 
 
 #Assign hyperparameters.
-y1_lgb_params =  {'objective': 'binary', 'boosting_type': 'gbdt', 'lambda_l1': 0.5873889067286373, 'lambda_l2': 0.0043364331356120405, 'num_leaves': 221, 'feature_fraction': 0.8036023624154648, 'bagging_fraction': 0.43028542431491096, 'bagging_freq': 5, 'min_child_samples': 7}
-y2_rf_params =  {'criterion': 'gini', 'max_features': None, 'max_depth': 98, 'n_estimators': 1500, 'min_samples_leaf': 3, 'min_samples_split': 4}
-y3_cb_params = {'objective': 'Logloss', 'colsample_bylevel': 0.025539888924058358, 'depth': 10, 'boosting_type': 'Ordered', 'bootstrap_type': 'Bernoulli', 'subsample': 0.1746916603674696}
-y4_xgb_params =  {'objective': 'binary:logistic', 'booster': 'gbtree', 'lambda': 1.9428110874325094e-06, 'alpha': 0.4622155288125666, 'max_depth': 7, 'eta': 0.7851633597929335, 'gamma': 4.627257790053709e-07, 'grow_policy': 'lossguide'}
-y5_xgb_params =  {'objective': 'binary:logistic', 'booster': 'gbtree', 'lambda': 2.3932298953962467e-07, 'alpha': 0.028092948114954518, 'max_depth': 4, 'eta': 0.9081862563796025, 'gamma': 2.6030807393900514e-07, 'grow_policy': 'lossguide'}
+y1_params = {'objective': 'binary:logistic', 'booster': 'gbtree', 'lambda': 0.5059844209148782, 'alpha': 0.0030156848979492556, 'max_depth': 2, 'eta': 4.546875002603483e-07, 'gamma': 1.1982641538268563e-08, 'grow_policy': 'lossguide', 'eval_metric': 'auc', 'verbosity': 0, 'seed': 31}
+y2_params = {'criterion': 'gini', 'max_features': None, 'max_depth': 5, 'n_estimators': 1700, 'min_samples_leaf': 2, 'min_samples_split': 2, 'random_state': 31}
+y3_params =  {'objective': 'binary:logistic', 'booster': 'gbtree', 'lambda': 3.540855010579091e-08, 'alpha': 4.005546508605542e-08, 'max_depth': 5, 'eta': 5.190362998186933e-08, 'gamma': 1.1458984717217304e-05, 'grow_policy': 'depthwise', 'eval_metric': 'auc', 'verbosity': 0, 'seed': 31}
+y4_params =  {'objective': 'binary:logistic', 'booster': 'gbtree', 'lambda': 9.081139728398413e-05, 'alpha': 2.6896480100715624e-06, 'max_depth': 3, 'eta': 1.1457645461556677e-08, 'gamma': 0.00043222206530621666, 'grow_policy': 'depthwise', 'eval_metric': 'auc', 'verbosity': 0, 'seed': 31}
+y5_params =  {'objective': 'binary', 'boosting_type': 'gbdt', 'lambda_l1': 0.0016190622681086678, 'lambda_l2': 0.00041749233000407354, 'num_leaves': 2, 'feature_fraction': 0.5730231365909909, 'bagging_fraction': 0.6964002116636187, 'bagging_freq': 6, 'min_child_samples': 44, 'metric': 'binary_logloss', 'verbosity': -1, 'random_state': 31}
+
 
 
 #Training models.
-y1_model_lgb = lgb.train(params=y1_lgb_params, train_set=y1_data_lgb)
-y1_explainer_lgb = shap.TreeExplainer(y1_model_lgb)
+y1_model_xgb = xgb.train(params = y1_params, dtrain = y1_data_xgb)
+y1_explainer_xgb = shap.TreeExplainer(y1_model_xgb)
 
 from sklearn.ensemble import RandomForestClassifier as rf
-y2_rf = rf(**y2_rf_params)
+y2_rf = rf(**y2_params)
 y2_model_rf = y2_rf.fit(x2_rf, y2)
 y2_explainer_rf = shap.TreeExplainer(y2_model_rf)
 
-y3_model_cb = cb.train(pool=y3_data_cb, params=y3_cb_params)
-y3_explainer_cb = shap.TreeExplainer(y3_model_cb)
+y3_model_xgb = xgb.train(params = y3_params, dtrain = y3_data_xgb)
+y3_explainer_xgb = shap.TreeExplainer(y1_model_xgb)
 
-y4_model_xgb = xgb.train(params=y4_xgb_params, dtrain=y4_data_xgb)
-y4_explainer_xgb = shap.TreeExplainer(y4_model_xgb)
+y4_model_lgb = lgb.train(params = y4_params, train_set = y4_data_lgb)
+y4_explainer_lgb = shap.TreeExplainer(y4_model_lgb)
 
-y5_model_xgb = xgb.train(params=y5_xgb_params, dtrain=y5_data_xgb)
-y5_explainer_xgb = shap.TreeExplainer(y5_model_xgb)
+y5_model_lgb = lgb.train(params=y5_params, train_set = y5_data_lgb)
+y5_explainer_lgb = shap.TreeExplainer(y5_model_lgb)
 
 
 #Define predict for y1 (mortality).
@@ -761,7 +762,7 @@ def y5_interpret_rf(*args):
     plt.tick_params(axis="x",direction="out", labelsize = 12)
     return fig
 
-with gr.Blocks(title = "NTDB-Epidural") as demo:
+with gr.Blocks(title = "TQP-atEDH") as demo:
         
     gr.Markdown(
         """
@@ -769,17 +770,79 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
     <center><h1>Epidural Hematoma Outcomes</h1></center>
     <center><h2>Prediction Tool</h2></center>
     <center><i>The publication describing the details of this predictive tool will be posted here upon the acceptance of publication.</i><center>
-    <center><h3>Disclaimer</h3>
-    <center> 
-    The American College of Surgeons National Trauma Data Bank (ACS-NTDB) and the hospitals participating in the ACS-NTDB are the source of the data used herein; they have not been verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors. The predictive tool located on this web page is for general health information only. This prediction tool should not be used in place of professional medical service for any disease or concern. Users of the prediction tool shouldn't base their decisions about their own health issues on the information presented here. You should ask any questions to your own doctor or another healthcare professional. The authors of the study mentioned above make no guarantees or representations, either express or implied, as to the completeness, timeliness, comparative or contentious nature, or utility of any information contained in or referred to in this prediction tool. The risk associated with using this prediction tool or the information in this predictive tool is not at all assumed by the authors. The information contained in the prediction tools may be outdated, not complete, or incorrect because health-related information is subject to frequent change and multiple confounders. No express or implied doctor-patient relationship is established by using the prediction tool. The prediction tools on this website are not validated by the authors. Users of the tool are not contacted by the authors, who also do not record any specific information about them. You are hereby advised to seek the advice of a doctor or other qualified healthcare provider before making any decisions, acting, or refraining from acting in response to any healthcare problem or issue you may be experiencing at any time, now or in the future. By using the prediction tool, you acknowledge and agree that neither the authors nor any other party are or will be liable or otherwise responsible for any decisions you make, actions you take, or actions you choose not to take as a result of using any information presented here.
-    <br/>
-    <br/>
-    <h4>By using this tool, you accept all of the above terms.<h4/>
-    </center>
-    <br/>
-    """
+        """
     )
 
+    gr.Markdown(
+        """
+        <center><h3>Model Performances</h3></center>
+          <div style="text-align:center;">
+          <table>
+          <tr>
+            <th>Outcome</th>
+            <th>Algorithm</th>
+            <th>Weighted Precision</th>
+            <th>Weighted Recall</th>
+            <th>Weighted AUPRC</th>
+            <th>Balanced Accuracy</th>
+            <th>AUROC</th>
+            <th>Brier Score</th>
+          </tr>
+          <tr>
+            <td>Mortality</td>
+            <td>XGBoost</td>
+            <td>0.981 (0.972 - 0.99)</td>
+            <td>0.906 (0.886 - 0.926)</td>
+            <td>0.412 (0.379 - 0.445)</td>
+            <td>0.801 (0.774 - 0.828)</td>
+            <td>0.926 (0.853 - 0.985)</td>
+            <td>0.013 (0.005 - 0.021)</td>             
+          </tr>
+          <tr>
+            <td>Non-home Discharges</td>
+            <td>Random Forest</td>
+            <td>0.758 (0.728 - 0.788)</td>
+            <td>0.764 (0.734 - 0.794)</td>
+            <td>0.51 (0.475 - 0.545)</td>
+            <td>0.673 (0.64 - 0.706)</td>
+            <td>0.798 (0.749 - 0.818)</td>
+            <td>0.159 (0.133 - 0.185)</td>             
+          </tr>
+          <tr>
+            <td>Prolonged LOS</td>
+            <td>XGBoost</td>
+            <td>0.803 (0.777 - 0.829)</td>
+            <td>0.736 (0.707 - 0.765)</td>
+            <td>0.414 (0.381 - 0.447)</td>
+            <td>0.684 (0.653 - 0.715)</td>
+            <td>0.782 (0.71 - 0.794)</td>
+            <td>0.127 (0.105 - 0.149)</td>             
+          </tr>
+          <tr>
+            <td>Prolonged ICU-LOS</td>
+            <td>LightGBM</td>
+            <td>0.82 (0.789 - 0.851)</td>
+            <td>0.818 (0.787 - 0.849)</td>
+            <td>0.303 (0.266 - 0.34)</td>
+            <td>0.629 (0.59 - 0.668)</td>
+            <td>0.774 (0.689 - 0.801)</td>
+            <td>0.111 (0.086 - 0.136)</td>             
+          </tr>
+          <tr>
+            <td>Major Complications</td>
+            <td>LightGBM</td>
+            <td>0.946 (0.93 - 0.962)</td>
+            <td>0.821 (0.795 - 0.847)</td>
+            <td>0.075 (0.057 - 0.093)</td>
+            <td>0.578 (0.544 - 0.612)</td>
+            <td>0.733 (0.61 - 0.801)</td>
+            <td>0.03 (0.018 - 0.042)</td>             
+          </tr>          
+        </table>
+        </div>
+        """
+    )    
+
     with gr.Row():
 
         with gr.Column():
@@ -809,8 +872,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             Respiratory_Rate = gr.Slider(label = "Respiratory Rate", minimum = 1, maximum = 99, step = 1, value = 18)
 
             Temperature = gr.Slider(label = "Temperature", minimum = 30, maximum = 50, step = 0.1, value = 36.5)
-
-            PreHospital_Cardiac_Arrest = gr.Radio(label = "Pre-Hospital Cardiac Arrest", choices = unique_PREHOSPITALCARDIACARREST, type = 'index', value = 'No')
             
             GCS__Eye = gr.Slider(label = "GCS - Eye", minimum = 1, maximum = 4, step = 1, value = 4)
 
@@ -824,6 +885,10 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             
             Midline_Shift = gr.Radio(label = "Midline Shift", choices = unique_TBIMIDLINESHIFT, type = 'index', value = 'No')
             
+            Bleeding_Localization = gr.Radio(label = "Bleeding Localization", choices = unique_LOCALIZATION, type = 'index', value = 'Supratentorial')   
+            
+            Bleeding_Size = gr.Radio(label = "Bleeding Size", choices = unique_SIZE, type = 'index', value = 'Tiny (less than 0.6cm thick)')
+            
             Current_Smoker = gr.Radio(label = "Current Smoker", choices = unique_CC_SMOKING, type = 'index', value = 'No')
 
             Comorbid_Condition__Alcohol_Use_Disorder = gr.Radio(label = "Comorbid Condition - Alcohol Use Disorder", choices = unique_CC_ALCOHOLISM, type = 'index', value = 'No')
@@ -857,7 +922,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer = gr.Radio(label = "Comorbid Condition - Currently Receiving Chemotherapy for Cancer", choices = unique_CC_CHEMO, type = 'index', value = 'No')
 
             Comorbid_Condition__Dementia = gr.Radio(label = "Comorbid Condition - Dementia", choices = unique_CC_DEMENTIA, type = 'index', value = 'No')
-
             Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder = gr.Radio(label = "Comorbid Condition - Attention Deficit Disorder or Attention Deficit Hyperactivity Disorder", choices = unique_CC_ADHD, type = 'index', value = 'No')
 
             Comorbid_Condition__Mental_or_Personality_Disorder = gr.Radio(label = "Comorbid Condition - Mental or Personality Disorder", choices = unique_CC_MENTALPERSONALITY, type = 'index', value = 'No')
@@ -869,8 +933,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             Anticoagulant_Therapy = gr.Radio(label = "Anticoagulant Therapy", choices = unique_CC_ANTICOAGULANT, type = 'index', value = 'No')
 
             Steroid_Use = gr.Radio(label = "Steroid Use", choices = unique_CC_STEROID, type = 'index', value = 'No')
-
-            Advanced_Directive_Limiting_Care = gr.Radio(label = "Advanced Directive Limiting Care", choices = unique_CC_ADLC, type = 'index', value = 'No')
             
             Days_from_Incident_to_ED_or_Hospital_Arrival = gr.Slider(label = "Days from Incident to ED or Hospital Arrival", minimum = 1, maximum = 31, step = 1, value = 1)
 
@@ -887,26 +949,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             Protective_Device = gr.Dropdown(label = "Protective Device", choices = unique_PROTDEV, type = 'index', value = 'None')
 
             WorkRelated = gr.Dropdown(label = "Work-Related", choices = unique_WORKRELATED, type = 'index', value = 'No')
-
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Head = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Head", minimum = 0, maximum = 9, step = 1, value = 1)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Face = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Face", minimum = 0, maximum = 9, step = 1, value = 1)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Neck", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Thorax", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Abdomen", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Spine", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Upper Extremity", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in the Lower Extremity", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions = gr.Slider(label = "AIS Severity - Maximum Severity of Injury in Unspecified Body Regions", minimum = 0, maximum = 9, step = 1, value = 0)
-            
-            AIS_derived_ISS = gr.Slider(label="AIS derived ISS", minimum = 1, maximum = 75, step = 1, value = 1)
             
             Blood_Transfusion = gr.Slider(label="Blood Transfusion (mL)", minimum = 0, maximum = 5000, step = 50, value = 0)
                         
@@ -957,13 +999,13 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                 gr.Markdown(
                     """
                     <center> <h2>Mortality</h2> </center>
-                    <center> This model uses the LightGBM algorithm. </center>
+                    <center> This model uses the XGBoost algorithm. </center>
                     <br/>
                     """
                     )
                 
                 with gr.Row():
-                    y1_predict_btn_lgb = gr.Button(value="Predict")
+                    y1_predict_btn_xgb = gr.Button(value="Predict")
                 
                 gr.Markdown(
                     """
@@ -980,7 +1022,7 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                     )
                 
                 with gr.Row():
-                    y1_interpret_btn_lgb = gr.Button(value="Explain")
+                    y1_interpret_btn_xgb = gr.Button(value="Explain")
                 
                 gr.Markdown(
                     """
@@ -1044,13 +1086,13 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                 gr.Markdown(
                     """
                     <center> <h2>Prolonged Length of Stay</h2> </center>
-                    <center> This model uses the CatBoost algorithm. </center>
+                    <center> This model uses the XGBoost algorithm. </center>
                     <br/>
                     """
                     )
                 
                 with gr.Row():
-                    y3_predict_btn_cb = gr.Button(value="Predict")
+                    y3_predict_btn_xgb = gr.Button(value="Predict")
                 
                 gr.Markdown(
                     """
@@ -1067,7 +1109,7 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                     )
                 
                 with gr.Row():
-                    y3_interpret_btn_cb = gr.Button(value="Explain")
+                    y3_interpret_btn_xgb = gr.Button(value="Explain")
                 
                 gr.Markdown(
                     """
@@ -1087,12 +1129,12 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                 gr.Markdown(
                     """
                     <center> <h2>Prolonged Length of ICU Stay</h2> </center>
-                    <center> This model uses the XGBoost algorithm. </center>
+                    <center> This model uses the LightGBM algorithm. </center>
                     <br/>
                     """
                 )
                 with gr.Row():
-                    y4_predict_btn_xgb = gr.Button(value="Predict")
+                    y4_predict_btn_lgb = gr.Button(value="Predict")
                 
                 gr.Markdown(
                     """
@@ -1109,7 +1151,7 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                     )
                 
                 with gr.Row():
-                    y4_interpret_btn_xgb = gr.Button(value="Explain")
+                    y4_interpret_btn_lgb = gr.Button(value="Explain")
                 
                 gr.Markdown(
                     """
@@ -1129,13 +1171,13 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                 gr.Markdown(
                     """
                     <center> <h2>Major Complications</h2> </center>
-                    <center> This model uses the XGBoost algorithm. </center>
+                    <center> This model uses the LightGBM algorithm. </center>
                     <br/>
                     """
                     )
                 
                 with gr.Row():
-                    y5_predict_btn_xgb = gr.Button(value="Predict")
+                    y5_predict_btn_lgb = gr.Button(value="Predict")
                 
                 gr.Markdown(
                     """
@@ -1152,7 +1194,7 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                     )
                 
                 with gr.Row():
-                    y5_interpret_btn_xgb = gr.Button(value="Explain")
+                    y5_interpret_btn_lgb = gr.Button(value="Explain")
                 
                 gr.Markdown(
                     """
@@ -1168,64 +1210,77 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                     """
                     )                
                                 
-                y1_predict_btn_lgb.click(
-                    y1_predict_lgb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y1_predict_btn_xgb.click(
+                    y1_predict_xgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [label1]
                 )
 
                 y2_predict_btn_rf.click(
                     y2_predict_rf,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [label2]
                 )
                 
-                y3_predict_btn_cb.click(
-                    y3_predict_cb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y3_predict_btn_xgb.click(
+                    y3_predict_xgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [label3]
                 )
 
-                y4_predict_btn_xgb.click(
-                    y4_predict_xgb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y4_predict_btn_lgb.click(
+                    y4_predict_lgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [label4]
                 )
                 
-                y5_predict_btn_xgb.click(
-                    y5_predict_xgb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y5_predict_btn_lgb.click(
+                    y5_predict_lgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [label5]
                 )
 
-                y1_interpret_btn_lgb.click(
-                    y1_interpret_lgb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y1_interpret_btn_xgb.click(
+                    y1_interpret_xgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [plot1],
                 )
                 
                 y2_interpret_btn_rf.click(
                     y2_interpret_rf,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [plot2],
                 )
 
-                y3_interpret_btn_cb.click(
-                    y3_interpret_cb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y3_interpret_btn_xgb.click(
+                    y3_interpret_xgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [plot3],
                 )
                 
-                y4_interpret_btn_xgb.click(
-                    y4_interpret_xgb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y4_interpret_btn_lgb.click(
+                    y4_interpret_lgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [plot4],
                 )
                 
-                y5_interpret_btn_xgb.click(
-                    y5_interpret_xgb,
-                    inputs = [Age, Sex, Ethnicity, Weight, Height, Systolic_Blood_Pressure, Pulse_Rate, Supplemental_Oxygen, Pulse_Oximetry, Respiratory_Assistance, Respiratory_Rate, Temperature, PreHospital_Cardiac_Arrest, GCS__Eye, GCS__Verbal, GCS__Motor, Total_GCS, Pupillary_Response, Midline_Shift, Current_Smoker, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__Mental_or_Personality_Disorder, Ability_to_Complete_AgeAppropriate_ADL, Pregnancy, Anticoagulant_Therapy, Steroid_Use, Advanced_Directive_Limiting_Care, Days_from_Incident_to_ED_or_Hospital_Arrival, Transport_Mode, InterFacility_Transfer, Trauma_Type, Injury_Intent, Mechanism_of_Injury, WorkRelated, AIS_Severity__Maximum_Severity_of_Injury_in_the_Head, AIS_Severity__Maximum_Severity_of_Injury_in_the_Face, AIS_Severity__Maximum_Severity_of_Injury_in_the_Neck, AIS_Severity__Maximum_Severity_of_Injury_in_the_Thorax, AIS_Severity__Maximum_Severity_of_Injury_in_the_Abdomen, AIS_Severity__Maximum_Severity_of_Injury_in_the_Spine, AIS_Severity__Maximum_Severity_of_Injury_in_the_Upper_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_the_Lower_Extremity, AIS_Severity__Maximum_Severity_of_Injury_in_Unspecified_Body_Regions, AIS_derived_ISS, 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, Cerebral_Monitoring, Protective_Device,],
+                y5_interpret_btn_lgb.click(
+                    y5_interpret_lgb,
+                    inputs = [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, Comorbid_Condition__Alcohol_Use_Disorder, Comorbid_Condition__Substance_Abuse_Disorder, Comorbid_Condition__Diabetes_Mellitus, Comorbid_Condition__Hypertension, Comorbid_Condition__Congestive_Heart_Failure, History_of_Myocardial_Infarction, Comorbid_Condition__Angina_Pectoris, History_of_Cerebrovascular_Accident, Comorbid_Condition__Peripheral_Arterial_Disease, Comorbid_Condition__Chronic_Obstructive_Pulmonary_Disease, Comorbid_Condition__Chronic_Renal_Failure, Comorbid_Condition__Cirrhosis, Comorbid_Condition__Bleeding_Disorder, Comorbid_Condition__Disseminated_Cancer, Comorbid_Condition__Currently_Receiving_Chemotherapy_for_Cancer, Comorbid_Condition__Dementia, Comorbid_Condition__Attention_Deficit_Disorder_or_Attention_Deficit_Hyperactivity_Disorder, Comorbid_Condition__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, Cerebral_Monitoring, Protective_Device,],
                     outputs = [plot5],
                 )
+
+    gr.Markdown(
+                """    
+                <center><h3>Disclaimer</h3>
+                <center> 
+                The American College of Surgeons National Trauma Data Bank (ACS-NTDB) and the hospitals participating in the ACS-NTDB are the source of the data used herein; they have not been verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors. The predictive tool located on this web page is for general health information only. This prediction tool should not be used in place of professional medical service for any disease or concern. Users of the prediction tool shouldn't base their decisions about their own health issues on the information presented here. You should ask any questions to your own doctor or another healthcare professional. The authors of the study mentioned above make no guarantees or representations, either express or implied, as to the completeness, timeliness, comparative or contentious nature, or utility of any information contained in or referred to in this prediction tool. The risk associated with using this prediction tool or the information in this predictive tool is not at all assumed by the authors. The information contained in the prediction tools may be outdated, not complete, or incorrect because health-related information is subject to frequent change and multiple confounders. No express or implied doctor-patient relationship is established by using the prediction tool. The prediction tools on this website are not validated by the authors. Users of the tool are not contacted by the authors, who also do not record any specific information about them. You are hereby advised to seek the advice of a doctor or other qualified healthcare provider before making any decisions, acting, or refraining from acting in response to any healthcare problem or issue you may be experiencing at any time, now or in the future. By using the prediction tool, you acknowledge and agree that neither the authors nor any other party are or will be liable or otherwise responsible for any decisions you make, actions you take, or actions you choose not to take as a result of using any information presented here.
+                <br/>
+                <br/>
+                <h4>By using this tool, you accept all of the above terms.<h4/>
+                </center>
+                <br/>
+                """
+    )                
                 
 demo.launch()