An application of clustering analysis to the comparison of mortality rates

Abstract

Mestrado Bolonha em Actuarial ScienceThis work provides the study of dissimilarity between mortality rates in 116 countries. Mean Shift Algorithm and Principal Component Analysis processed efficiently to classify countries into clusters, which show the reduction of the rate of mortality in the last twenty years. The result reveals an evident difference in the children and adult groups among researched countries, while it is more difficult to classify the rate for the seniors. Although the mortality rate will gradually reduce through time, there are two distinguishable patterns for developing countries having high rates: in Africa, where the value is higher for children, and in East Asia, where the survival probability for the adult is lower. The main reasons for the high mortality value in researched countries are natural disasters, global pandemics, and low-quality life. We also provided an application of the methodology by estimating the expected value and standard deviation of survival probability in Portugal and Vietnam in the next ten years.info:eu-repo/semantics/publishedVersio

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