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Machine Learning Applied to Patient-Reported Outcomes to Classify Physician-Derived Measures of Rheumatoid Arthritis Disease Activity.

Jeffrey R CurtisYujie SuShawn BlackStephen XuWayne LangholffClifton O BinghamShelly KafkaFenglong Xie
Published in: ACR open rheumatology (2022)
ML methods coupled with longitudinal PRO data appear useful and can achieve reasonable accuracy in classifying LDA among patients starting a new biologic. This approach has promise for real-world evidence generation in the common circumstance when physician-derived disease activity data are not available yet PRO measures are.
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