Registration Number
0225U002749,
(0124U000660)
, R & D reports
Title
Methods and means of artificial intelligence for preventing the spread of tuberculosis in military time
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Збір даних та побудова пілотних моделей.
Head
Vyklyuk Yaroslav I., Доктор технічних наук
Registration Date
01-04-2025
Organization
Lviv Polytechnic National University
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The project aims to develop simulator programs based on multi-agent systems and neural networks to create a geospatial model of tuberculosis transmission and predict its spread. Additionally, it involves the development of methods to prevent the epidemic in the European region of the WHO.
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As a result of the project stage a set of statistical data on the spread of tuberculosis in different countries of the world was formed, a selection of statistical indicators of the spread of tuberculosis at the level of human contacts was carried out, a multi-agent model of the functioning of human communities at the level of premises (transport), city, region and countries was developed.
The developed system is an innovative tool that can be used not only in the field of health care, but also in ensuring national security, social development and economic growth of Ukraine, and the results of the conducted research have significant practical value in these areas. The novelty of the approach proposed in the study is its complexity, focus on solving this class of problems. Therefore, the obtained research results have significant scientific value, since for the first time they integrate machine learning methods and multi-agent systems for modelling and forecasting the spread of tuberculosis based on structured data containing socio-economic and demographic characteristics. This allows us to significantly increase the accuracy of forecasts and predict the spread of tuberculosis in different regions, taking into account specific local conditions.
Product Description
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Boiko Nataliia I.
Vovk Olena B.
Melnykova Nataliia I.
Nevinskyi Denys V.
Shamuratov Oleksii Yu.
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2025-04-01
