Accessibility settings

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

Digital Health Reviews (3814) Decision Support for Health Professionals (2316) Machine Learning (3312) Falls Prevention in the Elderly (215) Artificial Intelligence (4946) AI in Older Adult Care (244)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84844, first published .
Elderly man fallen on floor with cane and glasses nearby

Machine Learning and Deep Learning Models for Predicting Future Falls in Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Longitudinal Evidence

Machine Learning and Deep Learning Models for Predicting Future Falls in Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Longitudinal Evidence

Authors of this article:

Ying Gao1, 2 Author Orcid Image ;   Doudou Xu1, 2, 3 Author Orcid Image ;   Xinru Li2 Author Orcid Image ;   Jue Wang1, 2, 4 Author Orcid Image ;   Linbin Wang5 Author Orcid Image ;   Beiwen Wu1 Author Orcid Image ;   Haifeng Zhao6 Author Orcid Image ;   Xian Qiu1, 2, 4 Author Orcid Image ;   Weiyi Zhu1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Rokaya M, Alzain M, Hemdan D, Atwa M, Atlam E. Integrated Personalized Disability-Aware Health Intelligence Under Heterogeneous and Partially Observable Conditions. Journal of Disability Research 2026;5(2) View
  2. Yang L, Xiong Q, Liang H, Gong L, Ding J, Liu X. Multimodal AI Algorithms for Risk Early Warning and Proactive Intervention in Community-Based Elderly Care: A Review. Algorithms 2026;19(10):820 View