Year 2019, Volume 5 , Issue 1, Pages 23 - 26 2019-03-31

Clustering of European Countries in terms of Healthcare Indicators

Billur ECER [1] , Ahmet AKTAŞ [2]


Health is always considered as one of the most important issues related to human being. Due to this importance, governments should primarily provide the best healthcare services to their citizens. Some indicators can show the quality of healthcare services in the country. However, one country can have a higher value of one indicator and can have a lower value of another. Thus, countries can be categorized in terms of quality of healthcare services. Clustering is a useful tool for comparing countries and defining the similar countries in terms of healthcare services. In this study, 28 European Union (EU) countries were evaluated on 14 health factors and the number of clusters was determined by the generally accepted rule of thumb. To cluster countries, k-means clustering method is run in WEKA software for two cluster numbers and four different initial solution approaches. The resulting clusters were evaluated according to the Spearman rank correlation coefficient using the order of the GDP per capita values of the countries in each cluster. It seems using four clusters with Canopy initial solution approach is the most appropriate way of clustering.
Data mining, Clustering, Healthcare indicators, EU countries
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Primary Language en
Subjects Engineering
Journal Section Research Articles
Authors

Author: Billur ECER (Primary Author)
Institution: Ankara Yıldırım Beyazıt University, Turkey*
Country: Turkey


Orcid: 0000-0002-4394-121X
Author: Ahmet AKTAŞ
Institution: Gazi University,Ankara,Turkey
Country: Turkey


Dates

Application Date : April 18, 2018
Acceptance Date : January 20, 2019
Publication Date : March 31, 2019

Bibtex @research article { ijcesen416611, journal = {International Journal of Computational and Experimental Science and Engineering (IJCESEN)}, issn = {}, eissn = {2149-9144}, address = {}, publisher = {İskender AKKURT}, year = {2019}, volume = {5}, pages = {23 - 26}, doi = {10.22399/ijcesen.416611}, title = {Clustering of European Countries in terms of Healthcare Indicators}, key = {cite}, author = {Ecer, Billur and Aktaş, Ahmet} }
APA Ecer, B , Aktaş, A . (2019). Clustering of European Countries in terms of Healthcare Indicators . International Journal of Computational and Experimental Science and Engineering (IJCESEN) , 5 (1) , 23-26 . DOI: 10.22399/ijcesen.416611
MLA Ecer, B , Aktaş, A . "Clustering of European Countries in terms of Healthcare Indicators" . International Journal of Computational and Experimental Science and Engineering (IJCESEN) 5 (2019 ): 23-26 <https://dergipark.org.tr/en/pub/ijcesen/issue/40599/416611>
Chicago Ecer, B , Aktaş, A . "Clustering of European Countries in terms of Healthcare Indicators". International Journal of Computational and Experimental Science and Engineering (IJCESEN) 5 (2019 ): 23-26
RIS TY - JOUR T1 - Clustering of European Countries in terms of Healthcare Indicators AU - Billur Ecer , Ahmet Aktaş Y1 - 2019 PY - 2019 N1 - doi: 10.22399/ijcesen.416611 DO - 10.22399/ijcesen.416611 T2 - International Journal of Computational and Experimental Science and Engineering (IJCESEN) JF - Journal JO - JOR SP - 23 EP - 26 VL - 5 IS - 1 SN - -2149-9144 M3 - doi: 10.22399/ijcesen.416611 UR - https://doi.org/10.22399/ijcesen.416611 Y2 - 2019 ER -
EndNote %0 International Journal of Computational and Experimental Science and Engineering Clustering of European Countries in terms of Healthcare Indicators %A Billur Ecer , Ahmet Aktaş %T Clustering of European Countries in terms of Healthcare Indicators %D 2019 %J International Journal of Computational and Experimental Science and Engineering (IJCESEN) %P -2149-9144 %V 5 %N 1 %R doi: 10.22399/ijcesen.416611 %U 10.22399/ijcesen.416611
ISNAD Ecer, Billur , Aktaş, Ahmet . "Clustering of European Countries in terms of Healthcare Indicators". International Journal of Computational and Experimental Science and Engineering (IJCESEN) 5 / 1 (March 2019): 23-26 . https://doi.org/10.22399/ijcesen.416611
AMA Ecer B , Aktaş A . Clustering of European Countries in terms of Healthcare Indicators. IJCESEN. 2019; 5(1): 23-26.
Vancouver Ecer B , Aktaş A . Clustering of European Countries in terms of Healthcare Indicators. International Journal of Computational and Experimental Science and Engineering (IJCESEN). 2019; 5(1): 23-26.