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 found that the extreme gradient boosting (XGBoost) predictor could more accurately predict rheumatoid arthritis (RA) relapse than logistic regression and random forest. When evaluating ...

Please provide your email address to receive an email when new articles are posted on . A model using machine learning was able to ascertain a simple selection rule to identify which patients with ...

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) ...