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Classifying Alzheimer’s disease with brain imaging and genetic data using a neural network framework
A long-standing question is how to best use brain morphometric and genetic data to distinguish AD patients from cognitively normal (CN) subjects and to predict those who will progress from mild cognitive impairment (MCI) to AD. Here we use a neural network (NN) framework on both magnetic resonance i...
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| Publicado no: | Neurobiol Aging |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5993633/ https://ncbi.nlm.nih.gov/pubmed/29784544 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neurobiolaging.2018.04.009 |
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