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Data Modeling for the Analysis of Health Risks and Human Longevity

  • Problems of Optimization and Simulation at Control of Development of Large-Scale Systems
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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.

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Authors and Affiliations

  1. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    A. I. Mikhalskii & V. V. Tsurko

Authors
  1. A. I. Mikhalskii
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  2. V. V. Tsurko
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Correspondence to A. I. Mikhalskii.

Additional information

Original Russian Text © A.I. Mikhalskii, V.V. Tsurko, 2018, published in Avtomatika i Telemekhanika, 2018, No. 10, pp. 164–182.

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Mikhalskii, A.I., Tsurko, V.V. Data Modeling for the Analysis of Health Risks and Human Longevity. Autom Remote Control 79, 1871–1885 (2018). https://doi.org/10.1134/S0005117918100119

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  • DOI: https://doi.org/10.1134/S0005117918100119

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