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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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |