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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2017
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| Materias: | |
| 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 |