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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Bibliographic Details

Published in:	Frontiers in Aging Neuroscience Vol. 14; pp. 1 - 15
Main Authors:	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
Format:	diagnostic images equations & formulas pictorial research tables/charts Journal Article
Published:	Frontiers Media S.A. 5/6/2022
Online Access:	View this record in EBSCOhost