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Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network
BACKGROUND: Deep neural networks learn from former experiences on a large scale and can be used to predict future disease activity as potential clinical decision support. AdaptiveNet is a novel adaptive recurrent neural network optimized to deal with heterogeneous and missing clinical data. OBJECTIV...
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| Publicat a: | PLoS One |
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| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8241074/ https://ncbi.nlm.nih.gov/pubmed/34185794 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0252289 |
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