Understanding the evolution of NSAID: A knowledge domain visualization approach to evidence-based medicine

Chaomei Chen, Yunan Chen, Russell C. Maulitz

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

4 Citations (Scopus)

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 high-quality 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.

Original languageEnglish
Title of host publicationProceedings - Ninth International Conference on Information Visualisation, iV05
Pages945-952
Number of pages8
DOIs
Publication statusPublished - 2005
Event9th International Conference on Information Visualisation, iV05 - London, United Kingdom
Duration: 2005 Jul 62005 Jul 8

Publication series

NameProceedings of the International Conference on Information Visualisation
Volume2005
ISSN (Print)1093-9547

Other

Other9th International Conference on Information Visualisation, iV05
Country/TerritoryUnited Kingdom
CityLondon
Period05/7/605/7/8

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'Understanding the evolution of NSAID: A knowledge domain visualization approach to evidence-based medicine'. Together they form a unique fingerprint.

Cite this