Random forest fall risk prediction model

Random forest fall risk prediction model predicts falls in humans (Internal-validation AUC 0.730).

“Random forest (RF) and LR achieved similar internal-validation AUCs (0.730 vs. 0.729); RF was selected because of higher specificity.”

HumansInternal validation in participants with comorbid cardiovascular disease and arthritis

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

Rejuvenation research·11 Oct 2026