Issue 3 (209), article 5


Cybernetics and Computer Engineering, 2022, 3(209)

KIFORENKO S.I., DSc (Biology), Senior Researcher,
Leading Researcher, the Department of Mathematical and Technical
Methods in Biology and Medicine

BELOV V.M., DSc (Medicine), Professor,
Head of the Department of Mathematical and Technical
Methods in Biology and Medicine

HONTAR T.M., PhD (Biology), Senior Researcher,
the Department of Mathematical and Technical
Methods in Biology and Medicine

Researcher, the Department of Mathematical and Technical
Methods in Biology and Medicine

OBELETS T.A., PhD student,
Junior Researcher, the Department of Mathematical and Technical
Methods in Biology and Medicine

International Research and Training Centre
for Information
Technologies and Systems
of the NAS and MES of Ukraine,
40, Glushkov av., Kyiv, 03187, Ukraine


Introduction. One of the directions of modern research in the field of digital medicine is the development of a methodological base for assessing, supporting and managing personal health. The use of the methodology of a systemic approach to solving biomedical problems is fundamental for the rational organization of scientific research at the stages of diagnosis, forecasting and correction of the health state of individuals and population groups.

Scientific research, which is aimed at the development of information technology for assessing personal health reserves of a practically healthy person based on indicators of physical and psychosocial status is relevant and oriented for use at the stages of pre-hospital diagnosis.

The purpose of the paperis to show the expediency of using methods of multidimensional hierarchical normometric scaling for quantitative assessment of the body’s health and its reserve capabilities for pre-clinical diagnosis and activation of adaptation in changing conditions of the external environment.

Results. An algorithm for calculating the norm index of various health indicators using normometric scaling  has been developed for multidimensional assessment of health reserves.

Information support for algorithms for calculating the range of the norm-index for natural and heuristic indicators of physical and psychosocial health status  has been developed for the needs of digital medicine.

Modules of the software-algorithmic complex “Health-Reserve” have been developed for multidimensional quantitative assessment of reserve capabilities of the human body and personality based on the norm-index scale system for information mobile technologies.

Conclusions. The algorithm for calculating the norm-index range for natural and heuristic indicators of physical and psycho-social health status makes it possible to increase the resolution of the indicators` reference zone that are taken into account in the human health assessment.

The development of computer modules for multidimensional quantitative assessment of the health and personality of a person based on norm-index scales makes it possible to automate and quickly collect data based on the results of examinations, analyze the diagnosed conditions dynamics and can be an effective tool for screening and monitoring the health of the population.  The use of mobile Android applications implemented by the developed technologies increases the quality of personal decision-making by the user due to the expansion of accessibility and increased efficiency in providing the necessary information for the organization of one’s life.

Keywords: normometric scaling, health reserves, health quantitative assessment, indicators norm-index, mobile applications.

Download full text!


1. Antomonov Yu.G., Belov V.M., Gritsenko V.I. et al. Open concept of health. Kyiv: Preprint, Institute of Cybernetics V.M. Glushkova, 1993. 27 p. (in Russian)

2. Amosov N.M. My health system. Kyiv: Health, 1997. 56 p. (in Russian)

3. Apanasenko G.L. Individual health: theory and practice of management, informational aspects. Medical informatics and engineering. 2009, no. 4, pp. 61-64. (in Russian)

4. Menatti L., Bich L., Saborido C. Health and environment from adaptation to adaptivity: a situated relational account. Biology and Philosophy. 2022, 31(2), pp. 237-265.

5. Marakushin D.I., Chernobai L.V., Isayeva I.M. et al.. Functional reserves of the organism as an indicator of the effectiveness of regulatory processes that ensure the adaptation of the organism to the action of environmental factors. Ukrainian Journal of Medicine. Biology and Sports. 2020. Vol. 5, no. 1 (23), pp. 21-29. (in Ukranian)

6. Cullati S., Kliegel M., Widmer E. Development of reserves over the life course and onset of vulnerability in later life. Nature Human Behaviour. 2018. 2(8), pp. 551-558.

7. Folke K., Colding J., Berkes, F. Synthesis: formation of stability and adaptability in socio-ecological systems. Navigation of socio-ecological systems: building resilience to complexity and change. 2003. 9 (1), pp. 352-387.

8. Kooijman S. A. Quantitative aspects of metabolic organization: a discussion of concepts. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences. 2001. 356(1407), pp. 331-349.

9. Sadikova A.B.Q. Valeology And Philosophy Of Life. The American Journal of Social Science and Education Innovations. 2021. 3(12), pp. 82-86.

10. Baevsky R.M. Evaluation of the adaptive capabilities of the body and the problem of restorative medicine. Bulletin of restorative medicine. 2004, no. 2, pp. 18-22. (in Russian)

11. Apanasenko G.L. Popova L.A., Maglovany A.V. Sanology. Fundamentals of health management. LAMBERT Academic Publishing, 2012. 404 p. (in Russian)

12. Lazurenko S.I., Biloshitsky S.V., Semenov A.M. Adaptation and adaptive capacity of people. Actual problems of training and development of people with special needs. 2014, no. 11, pp.194-207. (in Ukranian)

13. Kravchenko V.V. Information technology aspects of control and evaluation of physical health. Bulletin of the Kiev National University. Series Cybernetics. 2014, no. 1(14), pp. 27-32. (in Russian)

14. Istomin A.G., Tkachenko A.V. Modern methods and hardware-software complexes for assessing the adaptive capabilities and the level of health of the human body. Kharkov: Kharkov National Medical University, 2010. (in Russian)

15. Wasson C.S., Charles S. System engineering analysis, design, and development: Concepts, principles, and practices. JohnWiley&Sons, 2015.

16. Rebizant W., Janusz Sz.,Wiszniewski A. Fundamental sof System Analysis and Synthesis. Digital Signal Processing in Power System Protection and Control. Springer, London, 2011. 29-52.

17. Shultz K.S., Whitney D.J., Zickar M.J. Measurement theory in action: Case studies and exercises. Routledge, 2020. 434 p.

18. Argotti Y., Baron C., Esteban P. Quality quantification in systems engineering from the qualimetry eye. In IEEE International Systems Conference. 2019, April, pp. 1-8.

19. Makaricheva V.V. Information-computer system for assessing physical warehouse health. Control systems and machines. 2016, no. 1, pp. 81-91. (in Ukranian)

20. Davison M.L. Multidimensional scaling. Minnesota: University of Minnesota, 1987. 254 p.

21. Khazeeva N.M. The use of multidimensional scaling in sociological research: a brief review. URL: HYPERLINK “” (in Russian)

22. Antomonov M.Yu., Voloshchuk E.V. Construction of integral indicators of quantitative traits using one-dimensional and multidimensional statistical methods. Kibernetika i vycislitel’naa tehnika. 2012. Iss. 167, pp. 61-68. (in Russian)

23. Kiforenko S.I., Kotova A.B. Multidimensionality as a basis for systematic health assessment. Kibernetika i vycislitel’naa tehnika. 2006. Iss. 150, pp. 60-69. (in Russian)

24. Lutsyk B.D. Lapovets L.E., Swan G.B. Clinical laboratory diagnostics: training. Manual. Kyiv: Medicine, 2011. 208 p.

25. Belov V.M., Kotova A.B., Kiforenko S.I. The principle of the golden section in the context of the quantitative assessment of health. Normo index. Control systems and machines. 2016,no. 1, pp.73-80. (in Russian)

26. Karabayev M., Gasanova N., Batirov M., Kosimova G. Principles and constants of the golden proportion as a criterion in donosological diagnostics of the functional states of the body and in the assessment of the probability of their changes. Norwegian Journal of Development of the International Science. 2022. Iss. (77-1), pp. 19-27.

Received 03.06.2022

Kiforenko S.I., Belov V.M., Hontar T.M., Kozlovska V.O, Obelets T.A. Methodological Aspects of Using Normometrical Scaling for Multidimensional Assessment of Health Reserves. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 63-80.