Use of data mining at the food and drug administration

Hesha J. Duggirala, Joseph M. Tonning, Ella Smith, Roselie A. Bright, John D. Baker, Robert Ball, Carlos Bell, Susan J. Bright-Ponte, Taxiarchis Botsis, Khaled Bouri, Marc Boyer, Keith Burkhart, G. Steven Condrey, James J. Chen, Stuart Chirtel, Ross W. Filice, Henry Francis, Hongying Jiang, Jonathan Levine, David MartinTaiye Oladipo, Rene O'Neill, Lee Anne M. Palmer, Antonio Paredes, George Rochester, Deborah Sholtes, Ana Szarfman, Hui Lee Wong, Zhiheng Xu, Taha Kass-Hout

Research output: Contribution to journalArticlepeer-review

46 Scopus citations


Objectives This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA). Target audience We address data miners in all sectors, anyone interested in the safety of products regulated by the FDA (predominantly medical products, food, veterinary products and nutrition, and tobacco products), and those interested in FDA activities. Scope Topics include routine and developmental data mining activities, short descriptions of mined FDA data, advantages and challenges of data mining at the FDA, and future directions of data mining at the FDA.

Original languageEnglish (US)
Pages (from-to)428-434
Number of pages7
JournalJournal of the American Medical Informatics Association
Issue number2
StatePublished - Mar 1 2016
Externally publishedYes


  • Data mining
  • Disproportionality analysis
  • Pharmacovigilance

ASJC Scopus subject areas

  • Health Informatics


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