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  • 标题:Developing a Search Algorithm and a Visualization Tool for SNOMED CT
  • 本地全文:下载
  • 作者:Anthony Masi ; Ankur Agrawal
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2015
  • 卷号:6
  • 期号:4
  • DOI:10.14569/IJACSA.2015.060403
  • 出版社:Science and Information Society (SAI)
  • 摘要:With electronic health records rising in popularity among hospitals and physicians, the SNOMED CT medical terminology has served as a valuable standard for those looking to exchange a variety of information linked to clinical knowledge bases, information retrieval, and data aggregation. However, SNOMED CT is distributed as a flat file database by the International Health Terminology Standards Development Organization and visualization of data can be a problem. This study describes an algorithm that allows a user to easily search SNOMED CT for identical or partial matches utilizing indexing and wildcard matching through a graphical user interface developed in the cross-platform programming language Java. In addition to this, the algorithm displays corresponding relationships and other relevant information pertaining to the search term. The outcome of this study can serve as a useful visualization tool for those looking to delve into the increasingly standardized world of electronic health records as well as a tool for healthcare providers who may be seeking specific clinical information contained in the SNOMED CT database.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; SNOMED CT; electronic; health records; visualization; search algorithm; GUI
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