Open access
Aug 2026
Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury.
A CatBoost-based machine learning model incorporating 32 clinically accessible variables showed good predictive performance for in-hospital mortality in patients with diabetes and SA-AKI, supporting early risk stratification and clinical decision-making.
Yan-Ni Wang, Hongjie Shen, Sheng-Ze Wu et al.
· Journal of Intensive Care Me... · 0 citations