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Avtomatika i Telemekhanika, 2018, Issue 10, Pages 164–182 (Mi at15217)  
This article is cited in 1 scientific paper (total in 1 paper)

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

Data modeling for the analysis of health risks and human longevity

A. I. Mikhalskii, V. V. Tsurko

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Full-text PDF (1258 kB) Citations (1)
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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.
Keywords: risk factors, life expectancy, heterogeneity, methods of data analysis.
Presented by the member of Editorial Board: E. Ya. Rubinovich

Received: 09.11.2017
English version:
Automation and Remote Control, 2018, Volume 79, Issue 10, Pages 1871–1885
DOI: https://doi.org/10.1134/S0005117918100119
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. I. Mikhalskii, V. V. Tsurko, “Data modeling for the analysis of health risks and human longevity”, Avtomat. i Telemekh., 2018, no. 10, 164–182; Autom. Remote Control, 79:10 (2018), 1871–1885
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2018/i10/p164
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Avtomatika i Telemekhanika
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    Abstract page:182
    Full-text PDF :38
    References:15
    First page:9
     
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