Postoperative Delirium Prediction through Machine Learning in Patients Undergoing Aortocoronary Bypass Surgery

Objectives: Postoperative delirium is a prevalent and disabling mental disorder that occurs regularly in patients undergoing cardiac surgery. Delirium is associated with increased morbidity and mortality as well as a prolonged hospital stay. Identifying patients likely to develop delirium postextubation at the earliest possible point in time may help guide treatment decisions. This study investigates whether machine learning models are feasible to predict postoperative delirium.