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- W2464955060 abstract "<p>Out of pocket health expenditures points out to the payments made by households at the point<br />they receive health services. Frequently these include doctor consultation fees, purchase of<br />medication and hospital bills. In this study hierarchical clustering method was used for<br />classification of 34 countries which are members of OECD (Organization for Economic<br />Cooperation and Development) in terms of out of pocket health expenditures for the years<br />between 1995-2011. Longest common subsequences (LCS), correlation coefficient and<br />Euclidean distance measure was used as a measure of similarity and distance in hierarchical<br />clustering. At the end of the analysis it was found that LCS and Euclidean distance measures<br />were the best for determining clusters. Furthermore, study results led to understand grouping<br />of OECD countries according to health expenditures.</p>" @default.
- W2464955060 created "2016-07-22" @default.
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- W2464955060 date "2016-06-26" @default.
- W2464955060 modified "2023-09-24" @default.
- W2464955060 title "Clustering of OECD Countries Out of Pocket Health Expenditure Time Series Data" @default.
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- W2464955060 doi "https://doi.org/10.5296/rae.v8i2.9377" @default.
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