Abstract
One can expect that the life expectancy of people in a city or geographical region depends on health-care infrastructure in that city or region, as well as on investment devoted to it. In this paper we wanted to check the influence of health-care supports of different kind on the life expectancy. Data are collected on all 85 geographical districts in Russia, covering 15-year period. The symbolic regression model is applied and solved by variable neighborhood programming, the recent promising automatic programming technique. In other words, the analytic function is searched to present relation between the life expectancy and a few selected health-care financial attributes. Some years are used as training set, and some as testing set. Interesting results are obtained and analyzed. They confirm the fact that symbolic regression and artificial intelligence techniques might be the right approach in estimating the life expectancy.
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Acknowledgements
This publication is based on the work supported by the Khalifa University of Science and Technology under Award No. RC2 DSO. The research is also partially covered by the framework of the grant number BR05236839 “Development of Information Technologies and Systems for Stimulation of Personality’s Sustainable Development as One of the Bases of Development of Digital Kazakhstan.”
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Mladenovic, N., Rusetskaya, O., Elleuch, S., Jarboui, B. (2021). How the Health-Care Expenditure Influences the Life Expectancy: Case Study on Russian Regions. In: Masmoudi, M., Jarboui, B., Siarry, P. (eds) Artificial Intelligence and Data Mining in Healthcare. Springer, Cham. https://doi.org/10.1007/978-3-030-45240-7_4
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