A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer's Disease.

With the advances in machine learning for the diagnosis of Alzheimer's disease (AD), most studies have focused on either identifying the subject's status through classification algorithms or on predicting their cognitive scores through regression methods, neglecting the potential association between...

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Publicado en:	Frontiers in Aging Neuroscience Vol. 14; pp. 1 - 15
Autores principales:	Tabarestani, Solale, Eslami, Mohammad, Cabrerizo, Mercedes, Curiel, Rosie E., Barreto, Armando, Rishe, Naphtali, Vaillancourt, David, DeKosky, Steven T., Loewenstein, David A., Duara, Ranjan, Adjouadi, Malek
Formato:	diagnostic images equations & formulas pictorial research tables/charts Journal Article
Publicado:	Frontiers Media S.A. 5/6/2022
Acceso en línea:	Ver este registro en EBSCOhost