Machine learning insights on activities of daily living disorders in Chinese older adults
Machine learning algorithms, especially ensemble models, can effectively identify older adults at risk for ADL disorders. Increased outdoor activity, social engagement, and dietary adjustments are associated with a decreased risk of ADL deterioration. TRANSLATIONAL SIGNIFICANCE.
Authors
- Wenhao Zhou (ORCID: https://orcid.org/0000-0001-8956-7238)
- Jianan He (ORCID: https://orcid.org/0000-0001-6941-7806)
- Xingyou Liu (ORCID: https://orcid.org/0000-0001-7786-2504)
- Huanting Zhang
- Jie Shen
Institutions
- Hangzhou Dianzi University (CN)
Publication Details
- Journal
- Experimental Gerontology
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1016/j.exger.2024.112641
- Primary Topic
- Cardiovascular Health and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00