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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/908

Title: Understanding the evolution of NSAID: a knowledge domain visualization approach to evidence-based medicine
Authors: Chen, Chaomei
Chen, Yunan
Maulitz, Russell
Issue Date: Jul-2005
Publisher: IEEE
Citation: The 9th International Conference on Information Visualization (IV 2005), (London, England, July 6-8, 2005), pp. 945-952. Retrieved 6/21/2006 from http://www.pages.drexel.edu/~cc345/papers/iv2005.pdf.
Abstract: Finding the most rigorous, updated, and well received clinical evidence is a crucial and challenging task in the practice of Evidence-Based Medicine (EBM). In this article, we describe a knowledge domain visualization-based quantitative approach that is designed to support the task of searching for highquality clinical evidence in the medical literature. We illustrate the use of this new approach with the knowledge domain of Non-Steroidal Anti-Inflammatory Drugs (NSAIDs). A sample of the literature is visualized in a base map depicting structural and temporal properties of emerging themes and references made by such themes over time. In addition, the visualization highlights the rigorousness of a published clinical trial in terms of the type of study design retrieved dynamically from PubMed. The contribution of this approach is that it offers users an integrated search environment so that the rigorousness, recentness, and consensus of clinical evidence can be assessed with the support of visual exploration facilities.
URI: http://hdl.handle.net/1860/908
Appears in Collections:Faculty Research and Publications (IST)

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