Healio

Machine learning effective for detecting flares in RA, axial SpA

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 ...
Healio

Machine learning model using biomarkers, DAS28 data predicts MTX response in early RA

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 ...
The American Journal of Managed Care

Machine Learning–Based Predictors for RA Relapse Evaluated

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 ...
The American Journal of Managed Care

Adding Machine Learning to Longitudinal PRO Data May Prove Useful in RA

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) ...