2 papers
cs.LG2026
An interpretable data-driven approach to optimizing clinical fall risk assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +2
In this study we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measures via a data-driven…
cs.LG2026
An interpretable data-driven approach to optimizing clinical fall risk assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +3
In this study, we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measures via a data-drive…