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

Falls Prevention in the Elderly (192) Clinical Information and Decision Making (3458) Decision Support for Health Professionals (2075) Machine Learning (2995) Big Data Analytics for Elder Care (156)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80602, first published .
Caregiver assisting elderly woman in wheelchair with blanket

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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Journals

  1. Lee Y, Hsu Y, Lai S, Lin C, Lin C, Xu J. Admission clinical and functional assessments for predicting inpatient fall risk using machine learning models. DIGITAL HEALTH 2026;12 View
  2. Leng X, Yin F, Zhen J, Zhu Y, Tong F, Sun W, Li M, Tao Y, Zhang Y. Machine learning to identify novel bleeding and residual thromboembolic risks in patients on anticoagulation. Journal of Thrombosis and Thrombolysis 2026 View