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Application of machine learning methods in clinical trials for precision medicine
Abstract Objective A key component for precision medicine is a good prediction algorithm for patients’ response to treatments. We aim to implement machine learning (ML) algorithms into the response-adaptive randomization (RAR) design and improve the treatment outcomes. Materials and Methods We incorporated nine ML algorithms to model the relationship of …