| Summary: | 碩士 === 國立臺北護理健康大學 === 資訊管理研究所 === 106 === With the scientific and technological progress and economic development, the medical treatment is increasingly developed and people attach more importance to related issues of health and longevity. While providing convenience, science and technology have also brought many problems, such as the gap between the rich and the poor and environmental pollution, which will influence people’s life quality and health. The purpose of this research is to analyze the factors that influence the life expectancy and infant mortality through international public data using data mining technique, so as to propose suggestions for extending national life expectancy and reducing infant mortality.
This research adopted the international open data of 159 countries. The data from five aspects including the national economic development, information and communication technology, educational level, environmental hygiene, and industrial development were employed. The correlations between factors from these five aspects and life health indexes were measured. Using factors from five aspects as the independent variables and the life health indexes of life expectancy and infant mortality as dependent variables, the stepwise regression and decision tree technology were deployed to conduct analysis.
According to the values of correlation coefficients, Internet user ratio and expected education years are highly correlated with life expectancy and infant mortality. According to results of stepwise regression analysis, Internet user ratio and expected education years are the most influential factors for life expectancy and infant mortality. In addition, the execution results of the decision tree showed that Internet user ratio and expected education years are key factors in node segmentation, while Gross Domestic Product is not the most important factor.
This research found that people in richer countries do not necessarily have longer life nor lower infant mortality. However, people in the countries with longer education years and higher Internet user ratio have longer life expectancy and lower infant mortality. Therefore, the countries with short life expectancy and high infant mortality may raise the quality of their people by extending education years; those countries should also provide good network services, so that their people may learn knowledge, do business and obtain services using networks so as to further improve national income and promote national development. Under the forward loop, their people may have higher quality of life and better health environment, which will further improve national life expectancy and infant mortality.
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