Development and External Validation of a Machine Learning‐Based System for Predicting 4‐Year Incident Sarcopenia in Multimorbid Older Adults: Results From Two Prospective Cohorts
The ML-based prediction system addresses the limitations of current screening methods and shows potential for personalized clinical decision-making. Broader validation could further strengthen its clinical applicability.
Authors
- Meizhen Lin (ORCID: https://orcid.org/0000-0003-2317-3337)
- Yun‐Ju Lai (ORCID: https://orcid.org/0000-0001-8252-2125)
- Lulu Tang (ORCID: https://orcid.org/0000-0003-2362-1363)
- Xiaojia Pan (ORCID: https://orcid.org/0009-0009-3628-909X)
Institutions
- Tongji University (CN)
- Guangzhou University of Chinese Medicine (CN)
- First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
- Guangdong Academy of Medical Sciences (CN)
Publication Details
- Journal
- Geriatrics and gerontology international/Geriatrics & gerontology international
- Published
- 2025-10-18
- DOI
- https://doi.org/10.1111/ggi.70229
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00