Open access
Aug 2026
Machine Learning Predicts Functional Decline and Risk Phenotypes in Older Patients With Heart Failure.
BACKGROUND Preserving functional independence is critical in older patients with heart failure (HF), yet tools predicting long-term functional trajectories are scarce. AIMS To develop and validate a machine learning (ML) model predicting functional decline, accounting for the competing risk of mortality. METHODS We...
Kanji Yamada, N. Kagiyama, T. Morisawa et al.
· Journal of Cardiac Failure · 0 citations