Machine learning predicts response to TNF inhibitors in rheumatoid arthritis: results on the ESPOIR and ABIRISK cohorts

OBJECTIVES: Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict patient response to TNFi using machine learning on simple clinical and biological data. METHODS: We used data from the RA ESPOIR cohort to train our model...

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Detalles Bibliográficos
Autores principales: Bouget, Vincent, Duquesne, Julien, Hassler, Signe, Cournède, Paul-Henry, Fautrel, Bruno, Guillemin, Francis, Pallardy, Marc, Broët, Philippe, Mariette, Xavier, Bitoun, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Rheumatoid Arthritis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403109/
https://www.ncbi.nlm.nih.gov/pubmed/35999028
http://dx.doi.org/10.1136/rmdopen-2022-002442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403109/
https://www.ncbi.nlm.nih.gov/pubmed/35999028
http://dx.doi.org/10.1136/rmdopen-2022-002442

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