ALB and heart failure: The best classification accuracy (64.30%) was achieved by using the following nine candidate variables: age, sex, serum creatinine level, serum albumin level, haemoglobin level, heart failure, diabetes mellitus, blood urea nitrogen level, and serum phosphorus level.