| Knowledge structure of korean medical informatics: a social network analysis of articles in journal and proceedings. | |
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MedLine Citation:
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PMID: 21818424 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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OBJECTIVES: This study aimed at exploring the knowledge structure of Korean medical informatics. METHODS: We utilized the keywords, as the main variables, of the research papers that were presented in the journal and symposia of the Korean Society of Medical Informatics, and we used, as cases, the English titles and abstracts of the papers (n = 915) published from 1995 through 2008. N-grams (bigram to 5-gram) were extracted from the corpora using the BiKE Text Analyzer, and their cooccurrence networks were generated via a cosine correlation coefficient, and then the networks were analyzed and visualized using Pajek. RESULTS: With the hub and authority measures, the most important research topics in Korean medical informatics were identified. Newly emerging topics by three-year period units were observed as research trends. CONCLUSIONS: This study provides a systematic overview on the knowledge structure of Korean medical informatics. |
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Authors:
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Senator Jeong; Soo Kyoung Lee; Hong-Gee Kim |
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Publication Detail:
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Type: Journal Article Date: 2010-03-31 |
Journal Detail:
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Title: Healthcare informatics research Volume: 16 ISSN: 2093-369X ISO Abbreviation: Healthc Inform Res Publication Date: 2010 Mar |
Date Detail:
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Created Date: 2011-08-05 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101534553 Medline TA: Healthc Inform Res Country: Korea (South) |
Other Details:
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Languages: eng Pagination: 52-9 Citation Subset: - |
Affiliation:
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Biomedical Knowledge Engineering Laboratory, Seoul National University, Seoul, Korea. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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