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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, etc.
    • E-mail: ijet_Editor@126.com
Editor-in-chief
IJET 2013 Vol.5(2): 291-294 ISSN: 1793-8236
DOI: 10.7763/IJET.2013.V5.561

Intellectual Structure of Health Care Finance through Data Mining

Cheng-Kun Wang

Abstract—Scientometrics is applied to analyse many articles’s citation data and realize the paradigm shift of different countries’s health care finance system. Bibliometrics is a set of methods to quantitatively analyze scientific and technological literature. The purpose of this study is to identify the evolution of the health care finance and to reveal a description of an intellectual structure. Within each discipline, journal articles, books, and monographs fill the fundamental role of storing and distributing information. This analysis reveals a wealth of information, for example the lists of highly-cited authors, books, and articles presented here. By analyzing 59,693 citations of 1,973 articles published in SSCI and SCI journals in the health care finance field from year 2002 to year 2011, this study maps the intellectual structure of health care finance studies and find the development of health care finance. After executing keyword analysis and tag cloud analysis, ” insurance”, “mortality”, and “developing-countries” are the emerging topics in the health care finance field. The contribution of this study is to provide important insights and implications of health care finance.

Index Terms—Finance, health care, intellectual structure, tag cloud

Cheng-Kun Wang is with the Graduate School of Business and Operations Management, Chang Jung Christian University, Taiwan (e-mail:brian19.brian19@gmail.com).

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Cite: Cheng-Kun Wang, "Intellectual Structure of Health Care Finance through Data Mining," International Journal of Engineering and Technology vol. 5, no. 2, pp. 291-294, 2013.

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