Extracting adverse drug events from clinical Notes: A systematic review of approaches used.

Journal: Journal of biomedical informatics
Published Date: Feb 6, 2024

Abstract

BACKGROUND: An adverse drug event (ADE) is any unfavorable effect that occurs due to the use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text extraction research because it helps with pharmacovigilance and patient medication studies.

Authors

  • Salisu Modi
    Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia; Department of Computer Science, Sokoto State University, Sokoto, Nigeria. Electronic address: gs63125@student.upm.edu.my.
  • Khairul Azhar Kasmiran
    Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia. Electronic address: k_azhar@upm.edu.my.
  • Nurfadhlina Mohd Sharef
    Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia. Electronic address: nurfadhlina@upm.edu.my.
  • Mohd Yunus Sharum
    Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia. Electronic address: m_yunus@upm.edu.my.

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