Open access
Aug 2026
Development and Validation of an Interpretable Machine Learning Model for Inpatient Fall Risk Using Electronic Health Record Data
Background: Falls are the most common hospital-acquired adverse event, leading to extended hospitalization, loss of independence, disability, and premature death. Routine fall risk assessments are time-consuming, even with limited factors. An AI-derived fall prediction model can provide more comprehensive and comparabl...
S. Mordiffi, Xiu-Juan Guo, Mien-Li Goh et al.
· Nursing Reports · 0 citations