A survey on adverse drug reaction studies: data, tasks and machine learning methods.

Journal: Briefings in bioinformatics
Published Date: Jan 18, 2021

Abstract

MOTIVATION: Adverse drug reaction (ADR) or drug side effect studies play a crucial role in drug discovery. Recently, with the rapid increase of both clinical and non-clinical data, machine learning methods have emerged as prominent tools to support analyzing and predicting ADRs. Nonetheless, there are still remaining challenges in ADR studies.

Authors

  • Duc Anh Nguyen
    Bioinformatics Center in Kyoto University.
  • Canh Hao Nguyen
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan.
  • Hiroshi Mamitsuka
    Bioinformatics Center, Institute of Chemical Research, Kyoto University, Uji, Kyoto, 611 - 0011, Japan.

Keywords

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