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Impact of war on the dynamics of COVID-19 in Ukraine

BMJ global health, 2022-04, Vol.7 (4), p.e009173

2022

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Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models

International journal of telemedicine and applications, 2023-12, Vol.2023, p.1-24

2023

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Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting

Computation, 2022-05, Vol.10 (6), p.86

2022

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Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach

Applied sciences, 2022-05, Vol.12 (9), p.4282

2022

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Assessing the impact of the russian war in Ukraine on COVID-19 transmission in Spain: a machine learning-based study

Radìoelektronnì ì komp'ûternì sistemi (Online), 2023-03 (1), p.5-22

2023

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Impact of war on COVID-19 pandemic in Ukraine: the simulation study

Radìoelektronnì ì komp'ûternì sistemi (Online), 2022-05 (2), p.6-23

2022

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Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion’s Effect on Italy’s COVID-19 Dynamics

Computation, 2023-11, Vol.11 (11), p.221

2023

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Experimental Evaluation of Food-Grade Semi-Refined Carrageenan Toxicity

International journal of molecular sciences, 2021-10, Vol.22 (20), p.11178

2021

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Barriers of COVID-19 vaccination in Ukraine during the war: the simulation study using ARIMA model

Radìoelektronnì ì komp'ûternì sistemi (Online), 2022-10 (3), p.20-32

2022

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The practices of antibiotics application in neurosurgical patients in Ukraine: a cohort study

Journal of education, health and sport, 2021-06, Vol.11 (6), p.291-300

2021

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A prognostic model and pre-discharge predictors of post-COVID-19 syndrome after hospitalization for SARS-CoV-2 infection

Frontiers in public health, 2023-11, Vol.11, p.1276211-1276211

2023

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Semi-refined carrageenan promotes generation of reactive oxygen species in leukocytes of rats upon oral exposure but not in vitro

Wiener medizinische Wochenschrift, 2021-03, Vol.171 (3-4), p.68-78

2021

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Intelligent Agent-Based Simulation of HIV Epidemic Process

Lecture Notes in Computational Intelligence and Decision Making, p.175-188

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Application of Molecular Methods for Carbapenemase Detection

Frontiers in microbiology, 2019-08, Vol.10, p.1755

2019

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APPLICATION OF INTELLIGENT MULTIAGENT APPROACH TO LYME DISEASE SIMULATION

Online journal of public health informatics, 2019-05, Vol.11 (1)

2019

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On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine

Procedia computer science, 2022-01, Vol.198, p.706-711

2022

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Agent-based investigation of sexually transmitted infection

Online journal of public health informatics, 2017-05, Vol.9 (1)

2017

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Food additive E407a stimulates eryptosis in a dose-dependent manner

Wiener medizinische Wochenschrift, 2022-04, Vol.172 (5-6), p.135-143

2022

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Modeling of Hepatitis B Epidemic Process by the Risk Factors Analysis

Online journal of public health informatics, 2014-04, Vol.6 (1)

2014

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On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach

Data Stream Mining & Processing, p.372-382

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Effect of the Ukrainian Crisis on the Current Measles Situation and ways of Improving Surveillance

Online journal of public health informatics, 2015-04, Vol.7 (1)

2015

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Computer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaks

2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), 2019, p.1-4

2019

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IEEE_Xplore

Multiagent Simulation of the Hepatitis B Epidemic Process

Online journal of public health informatics, 2013-04, Vol.5 (1)

2013

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Dimensionality Reduction of Diabetes Mellitus Patient Data Using the T-Distributed Stochastic Neighbor Embedding

Smart Technologies in Urban Engineering, p.86-95

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On Intelligent Decision Making in Multiagent Systems in Conditions of Uncertainty

2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT), 2019, p.150-153

2019

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Impact of war on the dynamics of COVID-19 in Ukraine

Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models

Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting

Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach

Assessing the impact of the russian war in Ukraine on COVID-19 transmission in Spain: a machine learning-based study

Impact of war on COVID-19 pandemic in Ukraine: the simulation study

Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion’s Effect on Italy’s COVID-19 Dynamics

Experimental Evaluation of Food-Grade Semi-Refined Carrageenan Toxicity

Barriers of COVID-19 vaccination in Ukraine during the war: the simulation study using ARIMA model

The practices of antibiotics application in neurosurgical patients in Ukraine: a cohort study

A prognostic model and pre-discharge predictors of post-COVID-19 syndrome after hospitalization for SARS-CoV-2 infection

Semi-refined carrageenan promotes generation of reactive oxygen species in leukocytes of rats upon oral exposure but not in vitro

Intelligent Agent-Based Simulation of HIV Epidemic Process

Application of Molecular Methods for Carbapenemase Detection

APPLICATION OF INTELLIGENT MULTIAGENT APPROACH TO LYME DISEASE SIMULATION

On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine

Agent-based investigation of sexually transmitted infection

Food additive E407a stimulates eryptosis in a dose-dependent manner

Modeling of Hepatitis B Epidemic Process by the Risk Factors Analysis

On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach

Effect of the Ukrainian Crisis on the Current Measles Situation and ways of Improving Surveillance

Computer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaks

Multiagent Simulation of the Hepatitis B Epidemic Process

Dimensionality Reduction of Diabetes Mellitus Patient Data Using the T-Distributed Stochastic Neighbor Embedding

On Intelligent Decision Making in Multiagent Systems in Conditions of Uncertainty

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