Xiu-Juan Guo

Development and Validation of an Interpretable Machine Learning Model for Inpatient Fall Risk Using Electronic Health Record Data

The fall prediction model using demographics, diagnoses, medication, and surgery data predicts falls risk effectively and enables timely, accurate risk assessments and supports preventive interventions, saving nurses’ time for direct patient care.