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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Bibliografiska uppgifter
I publikationen:Neuroimage Clin
Huvudupphovsmän: 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.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2017
Ämnen:
Regular Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5716956/
https://ncbi.nlm.nih.gov/pubmed/29234599
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2017.10.026
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