Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation
Background Cardiovascular-kidney-metabolic (CKM) syndrome imposes a substantial global burden, yet most studies reduce stage change to a binary outcome that cannot distinguish clinically meaningful trajectories. This study developed and externally validated a multiclass machine learning framework for predicting CKM sta...