Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery.

Our machine learning-derived model is a reliable tool for the perioperative clinician to predict a rare outcome in high-risk patients using only preoperative variables.

Future studies will include prospective validation of this model at other institutions and real-time incorporation for improvement in perioperative workflow.