Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network.
<h4>Background</h4>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 clin...
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Autores principales: | Maria Kalweit, Ulrich A Walker, Axel Finckh, Rüdiger Müller, Gabriel Kalweit, Almut Scherer, Joschka Boedecker, Thomas Hügle |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/4fb44e422e2440d085807a0577cec8ba |
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