Machine learning model for identifying important clinical features for predicting remission in patients with rheumatoid arthritis treated with biologics

BACKGROUND: We developed a model to predict remissions in patients treated with biologic disease-modifying anti-rheumatic drugs (bDMARDs) and to identify important clinical features associated with remission using explainable artificial intelligence (XAI). METHODS: We gathered the follow-up data of...

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Detalles Bibliográficos
Autores principales: Koo, Bon San, Eun, Seongho, Shin, Kichul, Yoon, Hyemin, Hong, Chaelin, Kim, Do-Hoon, Hong, Seokchan, Kim, Yong-Gil, Lee, Chang-Keun, Yoo, Bin, Oh, Ji Seon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259419/
https://www.ncbi.nlm.nih.gov/pubmed/34229736
http://dx.doi.org/10.1186/s13075-021-02567-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259419/
https://www.ncbi.nlm.nih.gov/pubmed/34229736
http://dx.doi.org/10.1186/s13075-021-02567-y

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