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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...
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| Publicat a: | Front Aging Neurosci |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5335657/ https://ncbi.nlm.nih.gov/pubmed/28316569 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2017.00006 |
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