Predicting fall risk among older adults in Chinese communities with advanced machine learning techniques: a retrospective study
The fall risk prediction model for community-dwelling older adults, developed with CatBoost, showed excellent performance and can aid in early clinical assessment and fall prevention.
Authors
- Lianlian Qu
- Lingling Zhang (ORCID: https://orcid.org/0000-0002-9713-3939)
- Debin Huang
- Aihong Liu
Institutions
- Union Hospital (HK)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3389/fpubh.2025.1628493
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Huazhong University of Science and Technology
- Tongji University
- Tongji Medical College, Huazhong University of Science and Technology