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Correctly and efficiently identifying associations between drugs and adverse drug reactions (ADRs) is critically important for drug development and clinical safety. Because of their low costs and high performance, many statistical and machine learning methods have been recently implemented to identify these associations. Most existing computer-aided methods for predicting ADRs mainly rely on known...
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