A machine learning-based discriminative framework for mild cognitive impairment risk in middle-aged and elderly Chinese patients with depression: evidence from CHARLS and CLHLS
ML algorithms can effectively discriminate MCI in middle-aged and elderly Chinese patients with depression and identify the important factors associated to MCI.
Authors
- Zi-Wen Chen
- Zhi-Can Huang (ORCID: https://orcid.org/0009-0005-7686-167X)
- Zihan Yin (ORCID: https://orcid.org/0000-0001-8741-1205)
- Yan Chen (ORCID: https://orcid.org/0000-0003-1027-6054)
- Jin Yao (ORCID: https://orcid.org/0000-0003-3028-9370)
- Liang Fan-rong (ORCID: https://orcid.org/0000-0001-9689-5766)
Institutions
- Chengdu University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2025-11-15
- DOI
- https://doi.org/10.1016/j.jad.2025.120701
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00