Kseniia Bazilevych    
Ievgen Meniailov    
Dmytro Chumachenko    


Subject: the use of the mathematical apparatus of neural networks for the scientific substantiation of anti-epidemic measures in order to reduce the incidence of diseases when making effective management decisions. Purpose: to apply cluster analysis, based on a neural network, to solve the problem of identifying areas of incidence. Tasks: to analyze methods of data analysis to solve the clustering problem; to develop a neural network method for clustering the territory of Ukraine according to the nature of the epidemic process COVID-19; on the basis of the developed method, to implement a data analysis software product to identify the areas of incidence of the disease using the example of the coronavirus COVID-19. Methods: models and methods of data analysis, models and methods of systems theory (based on the information approach), machine learning methods, in particular the Adaptive Boosting method (based on the gradient descent method), methods for training neural networks. Results: we used the data of the Center for Public Health of the Ministry of Health of Ukraine distributed over the regions of Ukraine on the incidence of COVID-19, the number of laboratory examined persons, the number of laboratory tests performed by PCR and ELISA methods, the number of laboratory tests of IgA, IgM, IgG; the model used data from March 2020 to December 2020, the modeling did not take into account data from the temporarily occupied territories of Ukraine; for cluster analysis, a neural network of 60 input neurons, 100 hidden neurons with an activation Fermi function and 4 output neurons was built; for the software implementation of the model, the programming language Python was used. Conclusions: analysis of methods for constructing neural networks; analysis of training methods for neural networks, including the use of the gradient descent method for the Adaptive Boosting method; all theoretical information described in this work was used to implement a software product for processing test data for COVID-19 in Ukraine; the division of the regions of Ukraine into zones of infection with the COVID-19 virus was carried out and a map of this division was presented.

 Artículos similares

Nina Avanesova, Olha Marchenko, Tatyana Kolodyazhna     Pág. 5 - 11
The subject of the article is the study of modern trends in personnel safety of the enterprise. The purpose of the work is to study trends and approaches to ensuring personnel safety of the enterprise in modern economic conditions. The article solves the... ver más

Myroslav Malovanyy,Andrew Masikevych,Mikhail Kolotylo,Valery Yaremchuk     Pág. 15 - 24
We studied ways of ensuring of the environmental safety of recreational territories of a mountain ecosystem on the example of "Vizhnytsky" National Nature Park (NNP) in the Pokutsko-Bukovynian Carpathians. Existing approaches to ensuring of the environme... ver más

Petro Lizunov,Andrii Biloshchytskyi,Alexander Kuchansky,Yurii Andrashko,Svitlana Biloshchytska     Pág. 6 - 14
For the problem of formation of project teams, in particular, scientific research project groups, there was proposed the comprehensive method, which consists of the two-stage method for clustering the graph of citation of scientists» publications and the... ver más

Joanna Krupska, Joanna Hartenberger-Liszek     Pág. 73 - 81
The article?s purpose is to present the idea of transport on own account (non-commercial), its main areas and to assess the role of this type of transport in the creation of road transportation in Poland as well as the identification of regulations and n... ver más

Mohamed El Beqqal,Mostafa Aziz     Pág. pp. 182 - 191
The Internet of things(IoT) is now considered among  the most emerging technologies aiming to interconnect  heterogeneous smart  devices in several areas without human interaction . From sensing  and identification to data processing ... ver más