Machine learning-based prediction model for responses of bDMARDs in patients with rheumatoid arthritis and ankylosing spondylitis

Machine learning-based prediction model for responses of bDMARDs in patients with rheumatoid arthritis and ankylosing spondylitis

Abstract Background Few studies on rheumatoid arthritis (RA) have generated machine learning models to predict biologic disease-modifying antirheumatic drugs (bDMARDs) responses; however, these studies included insufficient analysis on important features. Moreover, machine learning is yet to be used...

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Bibliographic Details
Main Authors: Seulkee Lee, Seonyoung Kang, Yeonghee Eun, Hong-Hee Won, Hyungjin Kim, Jaejoon Lee, Eun-Mi Koh, Hoon-Suk Cha
Format: Article
Language:English
Published: BMC 2021-10-01
Series:Arthritis Research & Therapy
Subjects:
Rheumatoid arthritis
Ankylosing spondylitis
Machine learning
TNFi
Online Access:https://doi.org/10.1186/s13075-021-02635-3

Internet

https://doi.org/10.1186/s13075-021-02635-3

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