Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.

Journal: Drug safety
Published Date: May 17, 2022

Abstract

INTRODUCTION: Artificial intelligence based on machine learning has made large advancements in many fields of science and medicine but its impact on pharmacovigilance is yet unclear.

Authors

  • Benjamin Kompa
  • Joe B Hakim
    Department of Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA.
  • Anil Palepu
    Department of Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA.
  • Kathryn Grace Kompa
    Tufts University School of Medicine, Boston, MA, USA.
  • Michael Smith
    Department of Anatomy, Anatomical Gift Program, Albany Medical College, Albany, New York.
  • Paul A Bain
    Countway Library of Medicine, Harvard Medical School, Boston, MA, USA.
  • Stephen Woloszynek
    Ecological and Evolutionary Signal-processing and Informatics Laboratory, Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA.
  • Jeffery L Painter
    GlaxoSmithKline, Durham, NC, USA.
  • Andrew Bate
    Pfizer, London, UK.
  • Andrew L Beam
    Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

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