Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model.

Journal: Journal of medical Internet research
Published Date: Feb 6, 2019

Abstract

BACKGROUND: Adverse drug reactions (ADRs) are common and are the underlying cause of over a million serious injuries and deaths each year. The most familiar method to detect ADRs is relying on spontaneous reports. Unfortunately, the low reporting rate of spontaneous reports is a serious limitation of pharmacovigilance.

Authors

  • Chi-Shiang Wang
    Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan.
  • Pei-Ju Lin
    Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan.
  • Ching-Lan Cheng
    School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Shu-Hua Tai
    Department of Pharmacy, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
  • Yea-Huei Kao Yang
    School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Jung-Hsien Chiang
    Department of Computer Science and Information Engineering, National Cheng Kung University, 1, University Road, Tainan City, Taiwan.

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