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Comparative study of linear regression and sir models of covid-19 propagation in Ukraine before vaccination
(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 ...
Impact of war on COVID-19 pandemic in Ukraine: the simulation study
(ХАІ, 2022)
This article describes experimental studies of implementing the COVID-19 epidemic pro-cess model in Ukraine based on the polynomial regression method. The constructed model was sufficiently ac-curate in deciding on ...
On COVID-19 epidemic process simulation: three regression approaches investigations
(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
(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 ...
Barriers of COVID-19 vaccination in ukraine during the war: the simulation study using arima model
(ХАІ, 2022)
The purpose of the study is to develop a model of vaccination against COVID-19 in Ukraine and to study the impact of war on this process. The research is multidisciplinary and includes a sociological study of the attitude ...
Assessing the impact of the Russian war in Ukraine on covid-19 transmission in Spain: a machine learning-based study
(ХАІ, 2023)
The paper describes the results of an experimental study assessing the impact of the Russian full-scale war in Ukraine on COVID-19 dynamics in Spain. The developed model showed good performance to use it in public health ...
Comparative analysis of the machine learning models determining COVID-19 patient risk levels
(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 ...