A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Please provide your email address to receive an email when new articles are posted on . Machine learning methods combining pharmacogenomic biomarkers with baseline Disease Activity Score-28 joint ...
Researchers successfully used machine learning to detect flares among patients with rheumatoid arthritis and axial spondyloarthritis, and to determine a strong association between patient-reported ...
Researchers found that the extreme gradient boosting (XGBoost) predictor could more accurately predict rheumatoid arthritis (RA) relapse than logistic regression and random forest. When evaluating ...
In a proof-of-concept analysis, researchers show that machine learning methods paired with longitudinal patient-reported outcomes (PRO) data were able to classify subsequent rheumatoid arthritis (RA) ...
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