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Understanding the evolution of NSAID: a knowledge domain visualization approach to evidence-based medicine
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/908
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| 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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