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Comparison of Turkey and European Union Countries’ Health Indicators by Using Fuzzy Clustering Analysis

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  • Nesrin Alptekin

Abstract

In this study, it is aimed to classify of 27 European Union countries and Turkey with the healthcare indicators by using fuzzy clustering analysis. This study also investigates the position of Turkey compared to the European Union countries in terms of healthcare statistics. Fuzzy clustering analysis has been applied to the data obtained from 2012 World Health Report. Based on the Fuzzy clustering analysis, the countries were classified into two different groups. Turkey is placed in the same cluster as Bulgaria, Cyprus, Estonia, Hungary, Latvia, Lithuania, Poland, Romania and Slovakia.

Suggested Citation

  • Nesrin Alptekin, 2014. "Comparison of Turkey and European Union Countries’ Health Indicators by Using Fuzzy Clustering Analysis," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 4(10), pages 68-74, October.
  • Handle: RePEc:mir:mirbus:v:4:y:2014:i:10:p:68-74
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    1. Gerdtham, Ulf-G. & Sogaard, Jes & Andersson, Fredrik & Jonsson, Bengt, 1992. "An econometric analysis of health care expenditure: A cross-section study of the OECD countries," Journal of Health Economics, Elsevier, vol. 11(1), pages 63-84, May.
    2. Gauld, Robin & Ikegami, Naoki & Barr, Michael D. & Chiang, Tung-Liang & Gould, Derek & Kwon, Soonman, 2006. "Advanced Asia's health systems in comparison," Health Policy, Elsevier, vol. 79(2-3), pages 325-336, December.
    3. Kaymak, U. & Setnes, M., 2000. "Extended Fuzzy Clustering Algorithms," ERIM Report Series Research in Management ERS-2000-51-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    More about this item

    Keywords

    EU Countries; fuzzy clustering analysis; health indicators.;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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