Evidence-based Medicine: Data Mining And
Pharmacoepidemiology Research
Author(s)
B. B. Little, R. A. Weideman, K. C. Kelly & B. Cryer
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 pharmaco-epidemiology
research using data mining and data warehousing.
Keywords: evidence-based medicine, pharmacoepidemiology, data mining, data
warehousing.
1 Introduction
Evidence-based medicine is strongly advocated by the U.S. National Institutes of
Health [1], and is a high funding priority. Between November 1992 and March
2006, 20,697 publications indexed by the National Library of Medicine list
\“evidence-based medicine” as a keyword (Figure 1). Evidence-based medicine
is a structured analytical process in which published medical research is used to
critically assess the efficacy and safety of different medical interventions. The
Keywords
evidence-based medicine, pharmacoepidemiology, data mining, data
warehousing.
Related Book
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