Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization

Abstract

After selecting 15 crucial variables, a machine learning-based model for predicting the mortality of S-AKI patients was successfully established and the CatBoost model demonstrated best predictive performance.