Özet:

The main purpose of comparison of the health systems’ performance is to reach a high level of effectiveness and efficiency of the health care systems. Life expectancy at birth is an indicator commonly used in these comparisons. In this study 193 countries which are member of World Health Organization (WHO) classified by using different data mining methods. The main aim of this study is to compare different data mining methods classification performance. For this purpose three decision tree models which are created using ID.3, C4.5 and CART algorithms compared with Random Forest performance results which are created with 50, 100 and 150 trees. At the end of the study it was seen that Random Forest performance results better than decision trees. Another result of the study was life expectancy at birth has the most high information gain. Results of this study provide useful information for global health managers who aim to compare global health systems' performance.

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