Admission clinical and functional assessments for predicting inpatient fall risk using machine learning models

Objectives Falls are a major patient safety concern in inpatient care. This study aimed to develop machine learning models using multidimensional clinical factors to improve early identification of high-risk patients. Methods A retrospective dataset of 483,174 adult inpatients was analyzed. Logistic...

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Autors principals:	Ya-Wen Lee, Ying-Lin Hsu, Shu-Mei Lai, Chih-Hao Lin, Chih-Ming Lin, Jia-Lang Xu
Format:	Artigo
Idioma:	Inglês
Publicat:	SAGE Publishing 2026-06-01
Col·lecció:	Digital Health
Accés en línia:	https://doi.org/10.1177/20552076261461638
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