Yan Li

A Machine Learning-Based Fall Risk Prediction Model for Middle-Aged and Older Adults with Comorbid Cardiovascular Disease and Arthritis: Development and Geographic Split-Sample Validation.

The SHAP identified fall history, ankle pain, activities of daily living impairment, and sleep duration as the most influential predictors, but may serve only as adjunctive stratification within a stepped assessment pathway and should not replace routine clinical fall-risk screening.