Evidence-based medicine: Data mining and pharmacoepidemiology research

B. B. Little, R. A. Weideman, K. C. Kelly, B. Cryer

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

Abstract

Evidence-based medicine is an important initiative of the U.S. National Institutes of Health. However, published data are limited. Medical knowledge can be advanced through pharmacoepidemiology and data mining research of very large databases, data warehouses. Before Vioxx™ (rofecoxib) and Celebrex™ (celecoxib) were publicly suspected of being associated with acute myocardial infarction and stroke, etodolac was evaluated for gastrointestinal safety using a data warehouse constructed from several data sources and data mining tools embedded with pharmacoepidemiologic methods. Results were published in a top tier medical journal, and established gastrointestinal safety of a generic COX-2 analgesic medication. This project demonstrates that the knowledge needed for evidence-based medicine can be augmented through pharmacoepidemiology research using data mining and data warehousing.

Original languageEnglish (US)
Title of host publicationWIT Transactions on Information and Communication Technologies
Pages307-314
Number of pages8
Volume37
DOIs
Publication statusPublished - 2006
Event7th International Conference on Data, Text and Web Mining and their Business Applications and Management Information Engineering, DATA MINING 2006, DATA06 - Prague, Czech Republic
Duration: Jul 11 2006Jul 13 2006

Other

Other7th International Conference on Data, Text and Web Mining and their Business Applications and Management Information Engineering, DATA MINING 2006, DATA06
CountryCzech Republic
CityPrague
Period7/11/067/13/06

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Keywords

  • Data mining
  • Data warehousing
  • Evidence-based medicine
  • Pharmacoepidemiology

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Science(all)

Cite this

Little, B. B., Weideman, R. A., Kelly, K. C., & Cryer, B. (2006). Evidence-based medicine: Data mining and pharmacoepidemiology research. In WIT Transactions on Information and Communication Technologies (Vol. 37, pp. 307-314) https://doi.org/10.2495/DATA060311