Subclass-based multi-task learning for Alzheimer's disease diagnosis

In this work, we propose a novel subclass-based multi-task learning method for feature selection in computer-aided Alzheimer's Disease (AD) or Mild Cognitive Impairment (MCI) diagnosis. Unlike the previous methods that often assumed a unimodal data distribution, we take into account the underly...

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Detalles Bibliográficos
Autores principales: Suk, Heung-II, Lee, Seong-Whan, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124798/
https://www.ncbi.nlm.nih.gov/pubmed/25147522
http://dx.doi.org/10.3389/fnagi.2014.00168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124798/
https://www.ncbi.nlm.nih.gov/pubmed/25147522
http://dx.doi.org/10.3389/fnagi.2014.00168

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