Prediction of sarcopenia at different time intervals: an interpretable machine learning analysis of...
Prediction of sarcopenia at different time intervals: an interpretable machine learning analysis of modifiable factors
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Publisher
England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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This study aims to develop sarcopenia risk prediction models for Chinese older adults at different time intervals and to identify and compare modifiable factors contributing to sarcopenia development.
This study used data from 3,549 participants aged 60 and older in the China Health and Retirement Longitudinal Study (CHARLS). Sarcopenia status w...
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Full title
Prediction of sarcopenia at different time intervals: an interpretable machine learning analysis of modifiable factors
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TN_cdi_doaj_primary_oai_doaj_org_article_4ca44cfe0af74764aac4292956ba0eb4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4ca44cfe0af74764aac4292956ba0eb4
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ISSN
1471-2318
E-ISSN
1471-2318
DOI
10.1186/s12877-025-05792-1
