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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Detalles Bibliográficos
Autores principales: Kalweit, Maria, Walker, Ulrich A., Finckh, Axel, Müller, Rüdiger, Kalweit, Gabriel, Scherer, Almut, Boedecker, Joschka, Hügle, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241074/
https://www.ncbi.nlm.nih.gov/pubmed/34185794
http://dx.doi.org/10.1371/journal.pone.0252289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241074/
https://www.ncbi.nlm.nih.gov/pubmed/34185794
http://dx.doi.org/10.1371/journal.pone.0252289

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