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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Solale Tabarestani, Mohammad Eslami, Mercedes Cabrerizo, Rosie E. Curiel, Armando Barreto, Naphtali Rishe, David Vaillancourt, Steven T. DeKosky, David A. Loewenstein, Ranjan Duara, Malek Adjouadi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2022-05-01
Edice:	Frontiers in Aging Neuroscience
Témata:	Alzheimer’s disease multitask learning prediction longitudinal regression progression neural network
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fnagi.2022.810873/full
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!