Dobrorodnia H. Model and method of information technology to diagnostics of violation human energy balance

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0420U101770

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

16-10-2020

Specialized Academic Board

Д 64.062.01

National Aerospace University "Kharkiv Aviation Institute"

Essay

Object of research - the process of early diagnosis of human violation energy balance; goal of research - timely determination of a violation of human energy balance in the early stages of development by creating a model and method of information technology for diagnosing violation energy balance; methods of research - method of discriminant functions, method of multidimensional scaling, method of sigma deviations, Newton's method, Runge-Kutta method of the 4th order, Harris-Benedict method; the results - the actual scientific task is solved which related to the development of a model and method of information technology for diagnosing human violation energy balance, which are able to ensure early detection of human health disorders; the novelty - the complex model for human violation energy balance is developed which, in contrast to the existing ones, takes into account the combined impact of structural and functional indicators of the human condition, which allows determining the degree of energy disruption in terms of energy storage and ensure timely provision of preventive care; has been improved method of determining the degree and direction of imbalance of human energy processes, which combined individual parameters, statistical norms and integrated energy indicators, which allows assessing the pathology of processes in the body using information system for early diagnosis for making informed decisions by specialists; has been improved information technology for diagnosing human violation energy balance through the accumulation and systematic use of data that characterize human metabolism, which allows to automate the process of diagnosis and promotes early detection of health disorders; the degree of implementation - city clinical hospital №13 of Kharkiv city council, National Aerospace University named after M. E. Zhukovsky "Kharkiv Aviation Institute"; field of application - medical systems of early diagnostics.

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