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 ...
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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AI system matches human accuracy in RA X-ray scoring
A machine-learning system called autoscoRA has demonstrated accuracy comparable to human experts in scoring joint damage from X-rays in rheumatoid arthritis patients, according to new research. The ...
A machine-learning system, autoscoRA, has demonstrated accuracy comparable to human experts in scoring rheumatoid arthritis X-rays using the Sharp/van der Heijde method. Researchers found it matched ...
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