Issue 1 (207), article 6


Cybernetics and Computer Engineering, 2022, 1(207)

Kiforenko S.I., DSc (Biology), Senior Researcher
Leading Researcher of the Department of Application
Mathematical and Technical Methods in Biology and Medicine
ORCID: 0000-0001-2345-6789

Belov V.M., DSc (Medicine), Professor,
Head of the Department of Application
Mathematical and Technical Methods in Biology and Medicine
ORCID: 0000-0001-8012-9717

Hontar T.M., PhD (Biology), Senior Researcher
Senior Researcher of the Department of Application
Mathematical and Technical Methods in Biology and Medicine
ORCID: 0000-0002-9239-0709

International Research and Training Center for
Information Technologies and Systems of the
National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., Kyiv, 03187, Ukraine


Introduction. The article illustrates the feasibility of using the methodology of a systematic approach for the rational organization of research in solving biomedical problems at the stages of diagnosis, prognosis and correction of the condition. The effectiveness of using the principle of hierarchy as one of the main organizational principles of systems analysis is illustrated by specific examples of quantitative assessment of Health and its components and in the development of hierarchical modeling technology using mathematical models of varying complexity in a single technological cycle simultaneously.

The purpose of the paper is to show the expediency of using the principle of hierarchy on the examples of developing information-structural model of health category as an integrative structural concept and synthesis of hierarchical modeling technology as a basis for modern preclinical trials.

Results A hierarchical structure of health assessment technology has been developed, which includes conceptual level, management level: synthesis of assessment models and algorithms for calculating health reserves according to the norm index, level of synthesis of technological scaling procedures and diagnostic conclusions.

The technology of mathematical modeling using the hierarchy of models of different complexity for simulation research of different algorithms for glycemic control (analytical, numerical, simulation) to predict the glycemic profile at the stage of preclinical trials.

Conclusions. The hierarchical organization of the structure of the study of the category of health allowed to receive quantitative and verbal conclusions about the state of health reserves in general and all its components, taking into account the norm index, which increased the resolution of estimation algorithms. The proposed technology of hierarchical modeling of glycemic regulation in patients with diabetes allows to assess at the preclinical stage the peculiarities of the use of regulatory algorithms to prevent errors directly in the practice of treatment.

Keywords: the hierarchy principle, information-structural model of the health, hierarchical modeling, glycemic control system, simulation pre-clinical trials.

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Received 21.02.2022