A multi-agent system for detecting adverse drug reactions

Ayman Mansour, Hao Ying, Peter Dews, Yanqing Ji, Margo S. Farber, John Yen, Richard E. Miller, R. Michael Massanari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Discovering unknown adverse drug reactions (ADRs) as early as possible is highly desirable. Current methods largely rely on passive spontaneous reports, which suffer from serious underreporting, latency, and inconsistent reporting. They are not ideal for early identification of ADRs [5]. In this paper, we propose a multi-agent system approach for ADR detection. A multi-agent system is formed by a community of agents that exchange information and proactively help one another to achieve the goals set by the system designer. We show how agents, equipped with decision rules developed by the physicians on the team, can collaborate to detect signal pairs of potential ADRs. Using the popular agent language JADE [8, 10] and clinical information on 1,000 patients treated at the Detroit Veterans Affairs Medical Center, we have constructed a small group of agents and generated preliminary simulated detection results.

Original languageEnglish (US)
Title of host publication2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010
DOIs
StatePublished - Sep 20 2010
Event2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010 - Toronto, ON, Canada
Duration: Jul 12 2010Jul 14 2010

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

Other2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010
CountryCanada
CityToronto, ON
Period7/12/107/14/10

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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    Mansour, A., Ying, H., Dews, P., Ji, Y., Farber, M. S., Yen, J., Miller, R. E., & Massanari, R. M. (2010). A multi-agent system for detecting adverse drug reactions. In 2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010 [5548293] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2010.5548293