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The aim of this study was to examine the health sector indicators of 53 countries in Africa by means of decision tree analysis. This is because African countries can be categorized according to certain criteria and customized aid can be provided to the thus-typified countries. With life expectancy as a dependent variable, decision tree analysis was performed by applying eleven health sector indicators, and it was found that all were divided into seven nodes. Among the seven groups, countries with infant mortality rates higher than 50.5 and maternal mortality higher than 723 have the lowest life expectancy. These countries need aid in order to decrease infant and maternal mortality in the first instance.