Testing a novel AI synthetic sampling (SynSam) technology to boost machine-learning prediction accuracy for adverse drug events: the clinical case of arrhythmia from hydroxycholorquine
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UNC - Chapel Hill
Research and Equipment Support
Project Description: This study will test a novel artificial intelligence technology to improve the prediction accuracy of infrequent or rare clinical health outcomes such as adverse drug events.