Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning

It is highly desirable to predict the progression of Alzheimer's disease (AD) of patients [e.g., to predict conversion of mild cognitive impairment (MCI) to AD], especially longitudinal prediction of AD is important for its early diagnosis. Currently, most existing methods predict different cli...

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Detalles Bibliográficos
Autores principales: Lei, Baiying, Jiang, Feng, Chen, Siping, Ni, Dong, Wang, Tianfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335657/
https://www.ncbi.nlm.nih.gov/pubmed/28316569
http://dx.doi.org/10.3389/fnagi.2017.00006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335657/
https://www.ncbi.nlm.nih.gov/pubmed/28316569
http://dx.doi.org/10.3389/fnagi.2017.00006

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