Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.
Journal:
Anaesthesia
PMID:
39778909
Abstract
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predictive model for 1-year mortality in patients undergoing complex non-cardiac surgery using a novel machine-learning technique called multi-objective symbolic regression.