AB0322 Develop an master algorithm for drug withdraw strategy in reduction of adverse events with combination therapy- a machine learning model from the smart system of disease management (SSDM)
Abstract:BackgroundCombination therapy with DMARDs for treating RA is considered as standard of care. However, certain rates of adverse events (AEs) are unavoidable. The stigma is which drug should be stopped first once AEs emerge. The decisions made by clinicians are always empirically.ObjectivesTo develop an algorithm for decision making on drug withdraw sequence in face of adverse events with combination therapy based on data mining and machine learning from the SSDM.MethodsSSDM is an interactive mobile disease mana… Show more
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