An ensemble machine learning approach to predict postoperative mortality in older patients undergoing emergency surgery.

ABSTRACT:

Background

Prediction of preoperative frailty risk in the emergency setting is a challenging issue because preoperative evaluation cannot be done sufficiently. In a previous study, the preoperative frailty risk prediction model used only diagnostic and operation codes for emergency surgery and found poor predictive performance. This study developed a preoperative frailty prediction model using machine learning techniques that can be used in various clinical settings with improved predictive performance.

Methods

This is a national cohort study including 22,448 patients who were older than 75 years and visited the hospital for emergency surgery from the cohort of older patients among the retrieved sample from the Korean National Health Insurance Service. The diagnostic and ope

SUBMITTER: Lee SW 

PROVIDER: S-EPMC10155414 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature