Predicting risk of falling in older adults using supervised machine learning: a comparative analysis of model performance.

BACKGROUND: Falls in older adults pose a significant health risk and reliable predictive models for assessing the risk of falling would be highly beneficial and clinically relevant. This study evaluates the performance of various supervised machine l…

Preview only. Read the full abstract at the source