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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Detalles Bibliográficos
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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120529/
https://www.ncbi.nlm.nih.gov/pubmed/35601611
http://dx.doi.org/10.3389/fnagi.2022.810873

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120529/
https://www.ncbi.nlm.nih.gov/pubmed/35601611
http://dx.doi.org/10.3389/fnagi.2022.810873

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