Data Modeling for the Analysis of Health Risks and Human Longevity

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...

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Veröffentlicht in:Automation and remote control Jg. 79; H. 10; S. 1871 - 1885
Hauptverfasser: Mikhalskii, A. I., Tsurko, V. V.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Moscow Pleiades Publishing 01.10.2018
Springer Nature B.V
Schlagworte:
CAE) and Design
Calculus of Variations and Optimal Control; Optimization
Computer-Aided Engineering (CAD
Control
Data analysis
Human behavior
Longevity
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Problems of Optimization and Simulation at Control of Development of Large-Scale Systems
Robotics
Systems Theory
life expectancy
risk factors
methods of data analysis
heterogeneity
ISSN:0005-1179, 1608-3032
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117918100119