ENTROPY METHODS IN ANALYSIS OF BIOLOGICAL SYSTEMS
https://doi.org/10.20538/1682-0363-2014-4-15-20
Abstract
The adaptation of people to new production environment are often influenced by very unusual, excessive and harsh environmental factors, genetically inadequate to its nature. Human adaptation to the new production conditions can be summarized as a set of social and biological properties and characteristics needed to sustain the existence of the human body in a particular ecological environment.
It is necessary under the new conditions to achieve harmony of human interaction with the physical environment of their lives, adequate human nature. In addressing this fundamental problem of the
primary role belongs to biomedical science, which should not so much to predict the appearance of the disease, how much help to preserve and improve the health of population. At the same time becoming increasingly clear that solving this problem adaptation theory plays a crucial role.
Adaptive features appear only in real life. It is in particular natural or artificial habitat capabilities of the body, when the survival and life require maximum mobilization and stress its potential adaptive capacity. Consequently, the property adaptation of living systems is, in fact, a measure of individual health.
An approach based on entropy methods for modeling complex systems, seems to be the most promising for integrated assessment of biological systems.
Supporting agencies: Russian Foundation for Basic Research
About the Authors
O. G. Berestneva
National Research Tomsk Polytechnic University, Tomsk
Russian Federation
Russian Federation
Ya. S. Pekker
Siberian State Medical University, Tomsk
Russian Federation
Russian Federation
S. S. Murzina
National Research Tomsk Polytechnic University, Tomsk
Russian Federation
Russian Federation
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For citations:
Berestneva O.G., Pekker Ya.S., Murzina S.S. ENTROPY METHODS IN ANALYSIS OF BIOLOGICAL SYSTEMS. Bulletin of Siberian Medicine. 2014;13(4):15-20. (In Russ.) https://doi.org/10.20538/1682-0363-2014-4-15-20
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