Open access
Oct 2026
Construction and validation of an identification model for frailty in maintenance hemodialysis patients using multiple machine learning algorithms: a cross-sectional study of retrospectively collected data
The interpretable XGBoost model effectively identified prevalent frailty in MHD patients, demonstrating strong discrimination, calibration, and clinical applicability, and may support systematic frailty screening and individualized assessment.
Jiao Wang, Ping Yu, Wen-Juan Sun et al.
· Annals medicus · 0 citations