Nothing about us without us: involving patient collaborators for machine learning applications in rheumatology

Novel machine learning methods open the door to advances in rheumatology through application to complex, high-dimensional data, otherwise difficult to analyse. Results from such efforts could provide better classification of disease, decision support for therapy selection, and automated interpretati...

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Detalles Bibliográficos
Autores principales: Shoop-Worrall, Stephanie J W, Cresswell, Katherine, Bolger, Imogen, Dillon, Beth, Hyrich, Kimme L, Geifman, Nophar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600606/
https://www.ncbi.nlm.nih.gov/pubmed/34226185
http://dx.doi.org/10.1136/annrheumdis-2021-220454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600606/
https://www.ncbi.nlm.nih.gov/pubmed/34226185
http://dx.doi.org/10.1136/annrheumdis-2021-220454

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