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Rapid Report (Medical informatics)

StrokeMed: an Integrated Literature Database for Stroke and the Differentiation of Stroke Syndrome
Young Uk Kim1, Jin Ho Kim1, Young Kyu Park1 and Young Joo Kim1,*
1Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea
*Corresponding author
  Received : April 26, 2010
  Accepted : May 01, 2010
  Published : May 03, 2010
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Synopsis

Complex diseases, such as stroke and cancer, have two or more genetic influences and are affected by environmental factors, which complicates them. Due to the complex characteristics of these diseases, we must search and study comprehensive literature-based article resources. Some disease-related literature databases have been developed through specialized journal issues or major websites. Most of them, however, are scattered throughout a website, and users encounter difficulties in finding accurate and comprehensive information easily and quickly. We developed StrokeMed, an integrated literature database for stroke and the differentiation of stroke syndrome. The system allows users to explore PubMed search results, categorized by MeSH (Medical Subject Headings), and the differentiation of stroke syndrome in Oriental medicine. StrokeMed collects data from important sites, such as PubMed, Scirus, and Scopus, automatically to maintain higher-quality and updated content. Currently, the system indexes more than 20,000 PubMed abstracts that are related to stroke, stroke etiology, and Oriental medicine. The system provides valuable literature information to the scientific and medical fields in stroke.

Keyword: stroke, stroke syndrome differentiation, MeSH, text mining, information extraction, information retrieval,
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