Issue 3 (193), article 5


Kibern. vyčisl. teh., 2018, Issue 3 (193), pp.

Kiforenko S.I.1, DSc (Biology), Senior Researcher,
Leading Researcher of Dep. of Application Mathematical
and Technical Methods in Biology and Medicine

Hontar T.M.1, PhD (Biology), Senior Researcher,
Dep. of Application Mathematical and Technical Methods in Biology and Medicine

Ivaskiva K.Y.2, PhD (Medicine), Senior Researcher,
Scientific-advisory of Dep. of Ambulatory and Preventive Care for Patients with Endocrine Pathology

Obelets T.A.3, Computer Systems Analyst

1 International Research and Training Centre for Information Technologies
and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine

2 State Institution “V.P. Komisarenko Institute of Endocrinology and Metabolism of NAMS of Ukraine”, 69, Vyshgorodska St., Kyiv, 04114, Ukraine

3 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Peremogy av. 37, Kyiv, 03056, Ukraine


Introduction. Somatic health is the most important component of human health. It is the physical status that has a responsible role in the material and energy provision of the functioning of the physiological systems of the organism and their maintenance within the boundaries of the homeostatic norm. Emphasis on the motivation and self-control of their health, on an adequate orientation in the use of modern health-saving technologies is relevant.

The purpose of the article is to create a decision support system for increasing awareness of the health status and improve the efficiency of correcting the state of somatic health by using modern computer and mobile technologies.

Methods. The paper describes the information technology of quantitative assessment and correction of a person’s physical health, which is based on the information-structural model of a person’s physical health. A software-algorithmic complex for use in personal computers and mobile applications to support decision-making in the selection of recreational activities has been developed.

Results. The information structure of physical health was developed from the viewpoint of management theory, taking into account the subjective-objective aspects of evaluation and the multidimensionality of the research object. To support decision making in assessing health status and selecting preventive measures, a set of computer programs “HEALTH-ENERGY BALANCE ” has been developed. The basis of the complex is the modules “Early Diagnosis” — for assessing the condition and “Energobalance” — to support decision making when choosing a balanced diet, adequate activity and daily energy costs. Given the current trends in the development of the mHealth industry, this software is adapted for use in mobile devices.

Conclusion. The developed technology allows, using non-invasive techniques, to quantify the state of physical health. Depending on the position of the evaluation criterion on the diagnostic scale, the user is given the opportunity to choose the appropriate recreational techniques and minimize the mismatch between the energy value of the food ration and energy expenditure in selecting the activity mode. Implementation of the developed algorithms in mobile Android applications to the smartphone increases the effectiveness of supporting independent decision-making when organizing the life of the user.

Keywords: somatic health, automated information technology, objectively-subjective evaluation, software, mobile applications.

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Recieved 03.06.2018