Personalized Hearing Loss Care Using SNOMED CT-Aligned Ontology and Random Forest Machine Learning: A Hybrid Decision-Support Framework.

Background: Hearing loss affects over 466 million individuals globally and is recognized as a major risk factor for Alzheimer's disease, yet treatment personalization remains limited due to the complexity and diversity of underlying causes. Current diagnostic and therapeutic approaches lack standard...

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Publicado en:	Audiology Research Vol. 16; no. 2; pp. 37 - 60
Autores principales:	Kebsi, Darine, Barki, Chamseddine, Dergaa, Ismail, Gouider, Riadh, Ceylan, Halil İbrahim, Maddouri, Amina, Jemai, Abderrazak, Elloumi, Mourad, Bragazzi, Nicola Luigi, Boussi Rahmouni, Hanene
Formato:	pictorial research tables/charts Journal Article
Publicado:	MDPI Apr2026
Acceso en línea:	Ver este registro en EBSCOhost