Early Prediction of Well-Being Outcomes in Older Adults Using Explainable AI and Emotional Intelligence Measures

Background: Well-being in the elderly is shaped by complex emotional and social factors. Early identification of individuals at risk for reduced well-being may support timely preventive or supportive interventions. This study examined whether emotional intelligence indicators collected at baseline c...

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Autori principali:	Evgenia Kouli, Evangelos Bebetsos, Maria Michalopoulou, Filippos Filippou
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Applied Sciences
Soggetti:	explainable artificial intelligence XAI SHAP emotional intelligence well-being prediction elderly
Accesso online:	https://www.mdpi.com/2076-3417/16/7/3586
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