Interpretable machine learning for cognitive impairment screening: Development and external validation of a clinical prediction model based on NHANES data
Our interpretable prediction strategy enables rapid cognitive risk assessment using routine clinical data, providing a cost-effective decision support tool adaptable to electronic health record systems.
Authors
- Kang Chen (ORCID: https://orcid.org/0000-0002-1114-1461)
- Guran Yu
- Hao Li (ORCID: https://orcid.org/0000-0002-7577-1366)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Wangjing Hospital of China Academy of Chinese Medical Sciences (CN)
Publication Details
- Journal
- Experimental Gerontology
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1016/j.exger.2025.113019
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00