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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Hlavní autoři:	Heeeun Jung, Miji Kim, Chang Won Won, Kyung-Ryoul Mun
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2026-02-01
Edice:	BMC Geriatrics
Témata:	Frailty Sex-specific Machine learning Interpretability Shapley additive explanations (SHAP) Older adults
On-line přístup:	https://doi.org/10.1186/s12877-026-07109-2
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