A hybrid feature selection approach for the early diagnosis of Alzheimer's disease

dc.contributor
Universitat de Vic. Escola Politècnica Superior
dc.contributor.author
Gallego Jutglà, Esteve
dc.contributor.author
Solé-Casals, Jordi
dc.contributor.author
Vialatte, François B.
dc.contributor.author
Elgendi, Mohamed
dc.contributor.author
Cichocki, Andrej
dc.contributor.author
Dauwels, Justin
dc.date
2015
dc.identifier
Gallego-Jutglà, E., Solé-Casals, J., Vialatte, F. -., Elgendi, M., Cichocki, A., & Dauwels, J. (2015). A hybrid feature selection approach for the early diagnosis of alzheimer's disease. Journal of Neural Engineering, 12(1)
dc.identifier
1741-2560
dc.identifier
1741-2552
dc.identifier
http://hdl.handle.net/10854/3893
dc.identifier
https://doi.org/10.1088/1741-2560/12/1/016018
dc.identifier.uri
http://hdl.handle.net/10854/3893
dc.description
dc.format
application/pdf
dc.language
eng
dc.publisher
IOS Press
dc.rights
© IOP Publishing. The published version of the article is available at http://iopscience.iop.org/1741-2552/12/1/016018/article
dc.rights
Tots els drets reservats
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Alzheimer, Malaltia d'
dc.title
A hybrid feature selection approach for the early diagnosis of Alzheimer's disease
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/acceptedVersion


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