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Automation and Remote Control

, Volume 79, Issue 10, pp 1871–1885 | Cite as

Data Modeling for the Analysis of Health Risks and Human Longevity

  • A. I. Mikhalskii
  • V. V. Tsurko
Problems of Optimization and Simulation at Control of Development of Large-Scale Systems
  • 6 Downloads

Abstract

We study the factors that influence the health of a person and human longevity with methods of mathematical modeling. We pay special attention to the use of modern data analysis methods that take into account the effects of heterogeneity in the considered groups of people due to genetic, behavioral differences, and presence of concomitant diseases that affect the condition of a person differently. We study the relationship between cause-specific mortality and diseases that the person had at the end of his or her life.

Keywords

risk factors life expectancy heterogeneity methods of data analysis 

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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Trapeznikov Institute of Control SciencesRussian Academy of SciencesMoscowRussia

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