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Spontaneous speech feature analysis for alzheimer's disease screening using a random forest classifier

Detecting Alzheimer's disease (AD) and disease progression based on the patient's speech not the patient's speech data can aid non-invasive, cost-effective, real-time early diagnostic and repetitive monitoring in minimum time and effort using machine learning (ML) classification appro...

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Detalles Bibliográficos
Autores principales:	Hason, Lior, Krishnan, Sri
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712439/ https://www.ncbi.nlm.nih.gov/pubmed/36465088 http://dx.doi.org/10.3389/fdgth.2022.901419

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