Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases

BACKGROUND: Machine learning techniques such as support vector machine (SVM) have been applied recently in order to accurately classify individuals with neuropsychiatric disorders such as Alzheimer's disease (AD) based on neuroimaging data. However, the multivariate nature of the SVM approach o...

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Detalles Bibliográficos
Autores principales: Rondina, Jane Maryam, Ferreira, Luiz Kobuti, de Souza Duran, Fabio Luis, Kubo, Rodrigo, Ono, Carla Rachel, Leite, Claudia Costa, Smid, Jerusa, Nitrini, Ricardo, Buchpiguel, Carlos Alberto, Busatto, Geraldo F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716956/
https://www.ncbi.nlm.nih.gov/pubmed/29234599
http://dx.doi.org/10.1016/j.nicl.2017.10.026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716956/
https://www.ncbi.nlm.nih.gov/pubmed/29234599
http://dx.doi.org/10.1016/j.nicl.2017.10.026

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