Development and international validation of machine learning models for predicting incident disability in older adults: a multi-cohort study using CHARLS, HRS, and ELSA

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Journal
BMC Geriatrics
Published
2026-10-28
DOI
https://doi.org/10.1186/s12877-026-08595-0
Primary Topic
Aging, Health, and Disability
Type
article
Field-Weighted Citation Impact
0.00

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article

Development and international validation of machine learning models for predicting incident disability in older adults: a multi-cohort study using CHARLS, HRS, and ELSA

Yunhui Chen, Shouyan Wang, Haoyu Liu, Xue Yang
2 links
BMC Geriatrics
Aging, Health, and Disability
article

Development and international validation of machine learning models for predicting incident disability in older adults: a multi-cohort study using CHARLS, HRS, and ELSA

Yunhui Chen, Shouyan Wang, Haoyu Liu, Xue Yang
article en

Abstract

No abstract available for this paper.
BMC Geriatrics
Harbin Medical University (CN), Third Affiliated Hospital of Harbin Medical University (CN)
China Primary Health Care Foundation
Good health and well-being
Openalex Percentile: Top 10%
Aging, Health, and Disability
DOIOpen Access PDFOpenAlex
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