A distributed, collaborative intelligent agent system approach for proactive postmarketing drug safety surveillance

  • Authors:

  • Yanqing Ji;Hao Ying;Margo S. Farber;John Yen;Peter Dews;Richard E. Miller;R. Michael Massanari

  • Affiliations:

  • Department of Electrical and Computer Engineering, Gonzaga University, Spokane, WA;Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI;Drug Information/Use Policy, Detroit Medical Center, Detroit, MI;College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA;Department of Medicine, St John Health Providence Hospital, Southfield, MI and Department of Medicine, Wayne State University, Detroit, MI;John D. Dingell Veterans Affairs Medical Center, Detroit, MI;Research for the Critical Junctures Institute, Bellingham, WA

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
  • Year:
  • 2010

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Abstract

Discovering unknown adverse drug reactions (ADRs) in postmarketing surveillance as early as possible is of great importance. The current approach to postmarketing surveillance primarily relies on spontaneous reporting. It is a passive surveillance system and limited by gross underreporting (