Browsing by Author "Bazilevych, K."
Now showing items 1-4 of 4
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Comparative analysis of the machine learning models determining COVID-19 patient risk levels
Bazilevych, K.; Kyrylenko, O.; Parfenyuk, Y.; Krivtsov, S.; Meniailov, I.; Kuznietcova, V.; Chumachenko, D. (ХАІ, 2023)The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, emphasizing the need for predictive tools for resource allocation and patient care. This study delves into the potential of machine ... -
Comparative study of linear regression and sir models of covid-19 propagation in Ukraine before vaccination
Mohammadi, A.; Meniailov, I.; Bazilevych, K.; Yakovlev, S.; Chumachenko, D. (ХАІ, 2021)The study aims to develop machine learning and compartment models of COVID-19 epidemic process and to investigate experimental results of simulation. The object of research is COVID-19 epidemic process and its dynamics in ... -
On COVID-19 epidemic process simulation: three regression approaches investigations
Chumachenko, D.; Meniailov, I.; Bazilevych, K.; Chub, O. (ХАІ, 2022)This paper describes experimental research on implementing three regression models of the COVID-19 epidemic process. These are models of linear regression, Ridge regression, and Lasso regression. COVID-19 daily new cases ... -
Predictive model of COVID-19 epidemic process based on neural network
Krivtsov, S.; Meniailov, I.; Bazilevych, K.; Chumachenko, D. (ХАІ, 2022)The purpose of the research is to build a model of the epidemic process of COVID-19 to predict its dynamics based on neural networks. The object of research is the epidemic process of infectious diseases using the example ...