Machine learning based peri-surgical risk calculator for abdominal related emergency general surgery: a multicenter retrospective study.
Journal:
International journal of surgery (London, England)
PMID:
38489557
Abstract
BACKGROUND: Currently, there is a lack of ideal risk prediction tools in the field of emergency general surgery (EGS). The American Association for the Surgery of Trauma recommends developing risk assessment tools specifically for EGS-related diseases. In this study, we sought to utilize machine learning (ML) algorithms to explore and develop a web-based calculator for predicting five perioperative risk events of eight common operations in EGS.