This paper is in the following e-collection/theme issue:

Aging with Chronic Disease (186) Machine Learning (2199) Dementia and Cognitive Decline (732)

Published on in Vol 8 (2025)

This is a member publication of City University of Hong Kong

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67437, first published .
Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study

Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study

Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study

Authors of this article:

Hao Ren1, 2 Author Orcid Image ;   Yiying Zheng3 Author Orcid Image ;   Changjin Li2 Author Orcid Image ;   Fengshi Jing2 Author Orcid Image ;   Qiting Wang4 Author Orcid Image ;   Zeyu Luo2 Author Orcid Image ;   Dongxiao Li5 Author Orcid Image ;   Deyi Liang6 Author Orcid Image ;   Weiming Tang1, 7, 8 Author Orcid Image ;   Li Liu4 Author Orcid Image ;   Weibin Cheng1, 2, 9 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

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  3. Yu Z, Mulholland A, Huang T, Liu Q. Multimodal AI for Alzheimer’s Disease Diagnosis: A Systematic Review of Datasets, Models and Modalities (Preprint). Journal of Medical Internet Research 2025 View
  4. Fu W, Ho P. Blood-based biomarkers for Alzheimer's disease: Advances in early detection and monitoring of age-related neurodegeneration. Ageing Research Reviews 2026;117:103058 View
  5. Estrella T, Capdevila L, Alfonso C, Losilla J. Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines. JMIR Human Factors 2026;13:e78648 View