Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health

BackgroundFrailty is a public health concern linked to falls, disability, and mortality. Early screening and tailored interventions can mitigate adverse outcomes, but community settings require tools that are accurate and explainable. Korea is entering a super-aged phase, yet few approaches have use...

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Auteurs principaux:	Seungmi Kim, Byung Kwan Choi, Jeong Su Cho, Up Huh, Myung-Jun Shin, Zoran Obradovic, Daniel J. Rubin, Jae Il Lee, Jong-Hwan Park
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2025-11-01
Collection:	Frontiers in Public Health
Sujets:	frailty explainable AI machine learning SHAP prediction model digital health
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fpubh.2025.1698062/full
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