Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer’s disease spectrum: a COMPASS-ND study

Abstract Background Frailty indicators can operate in dynamic amalgamations of disease conditions, clinical symptoms, biomarkers, medical signals, cognitive characteristics, and even health beliefs and practices. This study is the first to evaluate which, among these multiple frailty-related indicat...

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Autores principales:	Linzy Bohn, Shannon M. Drouin, G. Peggy McFall, Darryl B. Rolfson, Melissa K. Andrew, Roger A. Dixon
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2023-12-01
Colección:	BMC Geriatrics
Materias:	Frailty Deficit accumulation Subjective cognitive impairment Mild cognitive impairment Alzheimer’s disease Canadian Consortium on Neurodegeneration in Aging
Acceso en línea:	https://doi.org/10.1186/s12877-023-04546-1
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