Identifying sex-specific predictors of frailty in Korean community-dwelling older adults using interpretable machine learning

Abstract Background Frailty is a common geriatric syndrome associated with increased risk of adverse health outcomes, highlighting the need for early identification and appropriate management. Although machine learning (ML) models have shown promise in classifying frailty, research on sex-specific c...

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Principais autores:	Heeeun Jung, Miji Kim, Chang Won Won, Kyung-Ryoul Mun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-02-01
coleção:	BMC Geriatrics
Assuntos:	Frailty Sex-specific Machine learning Interpretability Shapley additive explanations (SHAP) Older adults
Acesso em linha:	https://doi.org/10.1186/s12877-026-07109-2
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