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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 ...
Simulation and forecasting of the influenza epidemic process using seasonal autoregressive integrated moving average model
(ХАІ, 2021)
The study aims to develop a seasonal autoregressive integrated moving average (SARIMA) model for influenza epidemic process simulation and to investigate the experimental results of the simulation. The work is targeted at ...
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 ...
Ensemble machine learning approaches for fake news classification
(ХАІ, 2023)
This study develops an ensemble machine learning model for fake news classification. The research is targeted at spreading fake news. The research subjects are machine learning methods for misinformation classification.
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 ...