Identification of profiles associated with conversions between the Alzheimer’s disease stages, using a machine learning approach

Abstract Background The identification of factors involved in the conversion across the different Alzheimer’s disease (AD) stages is crucial to prevent or slow the disease progression. We aimed to assess the factors and their combination associated with the conversion across the AD stages, from mild...

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Detalhes bibliográficos

Principais autores:	Virginie Dauphinot, Marie Laurent, Martin Prodel, Alexandre Civet, Alexandre Vainchtock, Claire Moutet, Pierre Krolak-Salmon, Antoine Garnier-Crussard
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-07-01
coleção:	Alzheimer’s Research & Therapy
Assuntos:	Alzheimer’s disease Machine learning Decision tree Conversion Mild cognitive impairment Dementia
Acesso em linha:	https://doi.org/10.1186/s13195-024-01533-5
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