Predicting cognitive function among Chinese community-dwelling older adults: A supervised machine learning approach.

Journal: Preventive medicine

Published Date: Jul 1, 2025

Abstract

OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognitive impairment and facilitate successful cognitive aging. We aimed to build more precise prediction models for cognitive function using less variable input among Chinese community-dwelling older adults.

Authors

Xin Ye

Department of Stomatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xinfeng Wang

Institute for Global Public Policy, Fudan University, Shanghai 200433, China.
Yu Wang

Clinical and Technical Support, Philips Healthcare, Shanghai, China.
Hugo Lin

CentraleSupélec, Paris-Saclay University, Paris 91192, France.

Keywords

Activities of Daily Living Aged Aged, 80 and over China Cognition Cognitive Dysfunction East Asian People Female Humans Independent Living Longitudinal Studies Male Middle Aged Prospective Studies Supervised Machine Learning

External Resources

View on PubMed Access via DOI PubMed (40349986)

Predicting cognitive function among Chinese community-dwelling older adults: A supervised machine learning approach.

Abstract

Authors

Keywords

External Resources

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