This paper is in the following e-collection/theme issue:

Falls Prevention in the Elderly (103) Clinical Information and Decision Making (1951) Machine Learning (2118) Decision Support for Health Professionals (1562) Big Data Analytics for Elder Care (40)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80602, first published .
Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study

Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study

Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study

Authors of this article:

Xiyao Yang1 Author Orcid Image ;   Juan Ren1 Author Orcid Image ;   Dan Su2, 3 Author Orcid Image ;   Manzhen Bao1 Author Orcid Image ;   Miao Zhang1 Author Orcid Image ;   Xiaoming Chen1 Author Orcid Image ;   Yanhua Li1 Author Orcid Image ;   Zonggui Wang1 Author Orcid Image ;   Xiujing Dai1 Author Orcid Image ;   Zengzeng Wei1 Author Orcid Image ;   Shuiyu Zhang2 Author Orcid Image ;   Yuxin Zhang1 Author Orcid Image ;   Juan Li1 Author Orcid Image ;   Xiaolin Li1 Author Orcid Image ;   Junjin Xu1 Author Orcid Image ;   Nan Mo1 Author Orcid Image
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Xiyao Yang   1 * , MSc ;   Juan Ren   1 * , MSc ;   Dan Su   2, 3 * , PhD ;   Manzhen Bao   1 , MSc ;   Miao Zhang   1 , MSc ;   Xiaoming Chen   1 , BSc ;   Yanhua Li   1 , BSc ;   Zonggui Wang   1 , BSc ;   Xiujing Dai   1 , BSc ;   Zengzeng Wei   1 , BSc ;   Shuiyu Zhang   2 , BSc ;   Yuxin Zhang   1 , MSc ;   Juan Li   1 , BSc ;   Xiaolin Li   1 , BSc ;   Junjin Xu   1 , BSc ;   Nan Mo   1 , MSc

1 Second Hospital of Anhui Medical University, Hefei, China

2 School of Nursing, Anhui Medical University, Hefei, China

3 The Taikang Health and Wellness Industry Research Institute, Anhui Medical University, Hefei, China

*these authors contributed equally

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