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Higher performance for women than men in MRI-based Alzheimer’s disease detection

Abstract Introduction Although machine learning classifiers have been frequently used to detect Alzheimer’s disease (AD) based on structural brain MRI data, potential bias with respect to sex and age has not yet been addressed. Here, we examine a state-of-the-art AD classifier for potential sex and...

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Detalhes bibliográficos
Principais autores: Malte Klingenberg, Didem Stark, Fabian Eitel, Céline Budding, Mohamad Habes, Kerstin Ritter, for the Alzheimer’s Disease Neuroimaging Initiative
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2023-04-01
coleção:Alzheimer’s Research & Therapy
Assuntos:
Acesso em linha:https://doi.org/10.1186/s13195-023-01225-6
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