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.

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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.

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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.

Issue 3 (209), article 4


Cybernetics and Computer Engineering, 2022, 3(209)

KOVALENKO O.S.1, DSc (Medicine), Professor,
Head of the Medical Information Technologies Department

Senior Lecturer, Faculty of Biomedical Engineering,

Junior Researcher of the Medical Information Technologies Department

Junior Researcher of the Medical Information Technologies Department

Student, Faculty of Biomedical Engineering,

Student, Faculty of Biomedical Engineering,

1International Scientific and Educational Center
of Information Technologies and Systems
NAS of Ukraine and MES of Ukraine,
40, Akad. Hlushkova av., Kyiv, 03187, Ukraine

2National Technical University of Ukraine
«Ihor Sikorsky Kyiv Polytechnic Institute»
37, Peremohy av., Kyiv, 03056, Ukraine


Introduction. The use of digital medicine methods is becoming significantly urgent due to the COVID-19 pandemic, the current martial law in Ukraine, and the lack of medical equipment in some rural areas.

The same applies to providing medical care to the chronically ill. Such assistance includes social measures, which include care for the sick and disabled, provision of food etc. in addition to therapeutic and diagnostic measures. These measures are referred to as “medical and social care”.

The purpose of the paper is to apply the methods of digital medicine, which include telemedicine technologies in the construction of a medical information system model (MIS) to help chronic patients with telemedicine modules for the implementation of appropriate medical services in the hospital home settings.

Results. The types and methods of telemedicine technologies were analyzed, the diagram of business processes of the “Telemedicine” module was designed. The modules of the system were described with the specification of their realization, and the technical realization of the MIS for chronic care was carried out.  The technical requirements of the “Electronic prescription” module were described, and the diagrams for the tasks that are frequently used in practice were provided.

Conclusions. Based on the results of the analysis of capabilities and experience of using modern telemedicine systems, the architecture of medical information system for the medical and social care of patients was developed which covers the doctor and patient modules, united functionally by defined business processes with the performance of specific functions ( (online interaction between doctor and patient, issuing an electronic prescription etc.).

The use of the proposed MIS, which is made using a modern REST API platform for downloading files directly from clients, and an application implemented on the basis of the Waterfal method and the Python programming language, ensures the organization of the interaction of the medical staff with patients, in particular, the implementation of remote consultation and the provision of electronic prescriptions on based on entries in the patient’s electronic card.

Keywords: medical and social care, telemedicine technologies, medical information systems, electronic prescriptions

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23. Kovalenko O.S., Mishchenko R.F., Kozak L.M. Transformation of Clinical Decision Support Systems into FHIR Structures to Ensure Quality of Medical Care. Cybernetics and Computer Engineering, 2019. 4(198), pp. 78-94.

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Received 16.05.2022

Kovalenko O.S., Averyanova O.A., Maresova T.A., Nenasheva L.V., Kupman L.O., Dvornitska D.O. The use of telemedicine technologies to create a medical information system for medical and social care. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 45-63.

Issue 3 (209), article 3


Cybernetics and Computer Engineering, 2022, 3(209)

GRITCENKO V.I., Corresponding Member of the NAS of Ukraine,
Directorate Advisor

SUKHORUCHKINA O.N., Senior Researcher,
System Information Technologies Department,

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, Akad. Glushkov av., Kyiv, 03187, Ukraine


Introduction.The urgent needs of the modern technological order and the development of intelligent information technologies, covering a wide range of scientific areas, have led to the emergence of new principles for the organization of robot control systems. The main goal of modern robotics is to minimize direct human involvement in the control loop when the robot performs tasks in a weakly deterministic non-stationary environment. Historically, robotics for such operating conditions has progressed from remote command control to autonomous systems with the possibility of supervision by human. The influence of intelligent control on increasing the degree of autonomy of service mobile robots is considered. The important subsystems in the organization of intelligent control systems for autonomous mobile robots and the objective difficulties of their practical implementation are shown.

The purpose of the paper is to discuss the influence of intelligent control on the level of autonomous capabilities of robots in dynamic and incompletely defined conditions and the objective difficulties of creating universal approaches to the implementation of autonomous service robots control systems.

Results. The ways of increasing the autonomous capabilities of mobile robots are considered. The role of the supervisory control principle on the way to reducing human participation in the processes of remote control of service robots is given.

Conclusions. The use of the proposed structural solutions of the service mobile robot intelligent control system and the methodology for organizing its activating subsystem made it possible to significantly increase the autonomous resources of the robot when performing complex tasks in a weakly deterministic nonstationary environment.

Keywords:autonomous mobile robot, intelligent control system, supervisory control

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19. Sukhoruchkina O.N. The structures and information processes of mobile robot intelligent control. Zbirnyk naukovykh prats Instytutu problem modelyuvannya v energetytsi im. G.Ye. Pukhova NAN Ukrainy. Kyiv, 2012. No. 62, pp. 93-101. (in Russian)

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21. Sukhoruchkina O.N. Activating subsystem of mobile robot intelligent control, Sbornik dokladov Vserossiyskoe nauchno-tekhnic. konferentsii “Ekstremalnaya robototekhnika” (Rossiya, Sankt-Peterburg, 25-26 sentyabrya), Izdatelstvo “Politekhnika-servis”, Sankt-Peterburg, 2012, pp. 101-105. (in Russian)

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Received 06.06.2022

Gritcenko V.I., Sukhoruchkina O.N. From Command Control to the Autonomy of Mobile Robots. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 33-45.

Issue 3 (209), article 2


Cybernetics and Computer Engineering, 2022, 3(209)

STEPASHKO V.S., DSc (Engineering), Prof.,
Head of the Department of
Information Technologies of Inductive Modeling

Senior Researcher,
the Department of Information Technologies of Inductive Modeling,

PIDNEBESNA H.А., PhD (Engineering), Researcher,
the Department of Information Technologies of Inductive Modeling

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, Akad. Hlushkov av., Kyiv, 03187, Ukraine


Introduction. Data volumes are permanently increasing and some new approaches are needed for storage and processing them considering the development and improvement of modern computers. This puts forward new requirements to automatic data processing tools and intelligent systems for analyzing information with taking into account its semantics.

The advantage of iterative GMDH algorithms is that they are able to work with a large number of arguments. The generalized iterative GMDH algorithm includes various former modifications of these algorithms. For example, algorithms of multilayer and relaxation types as well as varieties of iterative-combinatorial (hybrid) algorithms are diverse particular cases of the generalized one.

Metamodeling is the construction of generalized models of a certain group of objects (software tools, mathematical models, information systems). An ontological metamodel of the iterative GMDH algorithms was built using the Protege tools in order to structure knowledge in this subject area.

The purpose of the paper is to analyze the developed iterative GMDH algorithms and propose an approach to structuring knowledge оn iterative GMDH algorithms by building an ontological metamodel of this subject area.

Results. A retrospective analysis of the developed iterative GMDH algorithms іs carried out in the paper, their advantages and disadvantages are indicated. It is shown that the generalized iterative algorithm, whose special cases are both known and new varieties of multilayer, relaxation and iterative-combinatorial GMDH algorithms, makes it possible to compare the effectiveness of various algorithms and solve real modeling problems. Based on the results of this study, an ontological metamodel of iterative GMDH algorithms has been developed.

Conclusions. The advantage of iterative GMDH algorithms is that they allow processing big data sets. The generalized iterative algorithm allows forming typical architectures of previously developed modifications of these algorithms when setting up various operating modes of this algorithm. The construction of an ontological metamodel based on this one allows structuring knowledge on the available iterative algorithms making it possible to automate the design and use of specialized software tools for specific applied tasks.

Keywords: inductive modeling, GMDH, iterative algorithms, mathematical model, metamodeling, subject area, ontology

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24 Bulgakova O.S., Stepashko V.S. Comparative Analysis of the Efficiency of Iterative GMDH Algorithms Using Computational Experiments. Visnyk CHDTU. 2011, no 1, pp. 41-44 (In Ukrainian).

Received 23.06.2022

Stepashko V.S., Savchenko-Syniakova Ye.А., Pidnebesna H.А. Problem of Constructing an Ontological Metamodel of Itirative Group Method of Data Handling Algorithms. Cybernetics and Computer Engineering, 2022, no 3(209), pp. 21-33.

Issue 3 (209), article 1


Cybernetics and Computer Engineering, 2022, 3(209)

VOLKOV O.Ye.1, PhD (Engineering), Senior Researcher

BOGACHUR Yu.P.1 , PhD (Engineering),
Senior Researcher of the Intelligent Control Department

LINDER Ya.M.2 , PhD (Phys&Math),
Docent of the Intelligent Software Systems Department

TARANUKHA V.Yu.2, PhD (Phys&Math),
Assistant of Mathematical Informatics Department

VOLOSHENYUK D.O.1 , PhD (Engineering),
Researcher of the Intelligent Control Department

1International 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. Glushkova av., Kyiv, 03187, Ukraine

2Taras Shevchenko National University of Kyiv,
Faculty of Computer Sciences and Cybernetics,
4d, Acad. Glushkova av., Kyiv, 03022, Ukraine


Introduction. Currently, research into the synthesis of wave images of reflected sound and radio signals has been actively carried out, due to the fact a successful attempt to determine the type of an object for which there is such an image requires either a very large sample base or an intelligent recognition tool. An attempt is made to analyze and recognize the type of an object of a complex shape (using ships as example) with the aim of its further use in applied tasks such as creation of homing heads for anti-ship missiles.

The purpose of the paper is to simplify and speed up the process of classifying objects having complex shapes based on their reflected radar images. For this purpose, we consider synthesized images generated on the basis of facet models. Then, on the basis of synthesized images, recognition is performed using neural networks.

Results. It is shown that the method developed for recognition of synthesized images has high reliability, and allows for building of a technology in the future. The elaborated model of image generation provides for a possibility of conducting experiments exclusively in a digital form, making thereby expensive live experiments unnecessary.

Conclusions. Despite very good results from a mathematical point of view, and in spite of the available convenient tools, such as faceted models for creating radar images, the task still requires further research, since the final product (technology) must be applied in the area where the cost of an error is very high. As for now, the development of the neural network approach looks the most promising.

Keywords: facet model; remote sensing; underlying surface; radar image

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Received 27.05.2022

Volkov O.Ye. , Bogachuk Yu.P., Linder Ya.M., Taranukha V.Yu., Voloshenyuk D.O. Means for a Classification Technology of Synthetic Radar Images of Objects Having Complex Shapes. Cybernetics and Computer Engineering, 2022, no 3(209), pp.5-21.