Input attributes Description of input attributes Type of Attributes Composite Attributes
AGE_DON Donor Age in Years Numeric Donor
CLIN_INFECT_DON Deceased Donor-Clinical Infection(Y,N) Nominal
CREAT_DON Deceased Donor-Terminal Lab Creatinine Numeric
DIABETES_DON Deceased Donor-History of Diabetes(Y,N) Nominal
DON_TY Donor Type(Deceased, Living) Nominal
GENDER_DON Donor Gender Nominal
NON_HRT_DON Deceased Donor-Non-Heart Beating Donor Nominal
SGOT_DON Deceased Donor-Terminal SGOT/AST Numeric
SGPT_DON Deceased Donor-Terminal SGPT/ALT Numeric
TBILI_DON Deceased Donor-Terminal Total Bilirubin Numeric
BMI_TCR Body Mass Index of Recipient Numeric Recipient
ENCEPH_TCR Recipient Encephalopathy Nominal
EXC_HCC Type of Exception relative to HCC:HBL(HCC,NON-HCC: HBL=Hepatoblastoma) Nominal
FINAL_ALBUMIN Most recent recipient Albumin Numeric
FINAL_ASCITES Most recent recipient Ascites Numeric
FINAL_BILIRUBIN Most recent recipient Bilirubin Numeric
FINAL_INR Most recent recipient INR Numeric
FINAL_MELD_OR_PELD Most recent recipient use MELD/PELD Nominal
FINAL_MELD_PELD_LAB_SCORE Most recent recipient MELD/PELD Lab score Numeric
FINAL_SERUM_CREAT Most recent recipient Serum Creatinine Numeric
FINAL_SERUM_SODIUM Most recent Serum Sodium Numeric
GENDER Recipient Gender Numeric
INIT_AGE Recipient Age in Years Numeric
MALIG_TCR Recipient any known Malignancies Nominal
MALIG_TRR Recipient malignancies at Transplantation Nominal
GSTATUS Graft status Nominal
NUM_PREV_TX The number of previous transplants Numeric Transplantation
TXLIV Type of liver(W,S ) Nominal
Table 1: Description of dataset to predict the patient survival using MLP.