Web-Application Development for Tasks of Prediction in Medical Domain. - Mariia S. Mazorchuk; Viktoriia Dobriak; Dmytro Chumachenko (CSIT (1), 2018)

Modeling of the Processes of Stakeholder Involvement in Command Management in a Multi-Project Environment. - Nataliia Dotsenko; Dmytro Chumachenko; Igor Chumachenko (CSIT (1), 2018)

On Intelligent Multiagent Approach to Viral Hepatitis B Epidemic Processes Simulation. - Dmytro Chumachenko (DSMP, 2018)

Stochastic modelling of Cash Flow for Personal Insurance fund using the Cloud Data Storage. - Kseniia Bazilevych; Mary Mazorchuk; Yurii Parfeniuk; Viktoriia Dobriak; Ievgen Meniailov; Dmytro Chumachenko (Int. J. Comput., 2018)

Project-Oriented Management of Adaptive Commands Formation Resources in Multi-Project Environment. - Nataliia Dotsenko; Dmytro Chumachenko; Igor Chumachenko (CMIS, 2019)

Development of an intelligent agent-based model of the epidemic process of syphilis. - Dmytro Chumachenko; Ievgen Meniailov; Kseniia Bazilevych; Yuliia Kuznetsova; Tetyana Chumachenko (CSIT (1), 2019)

Modeling of the process of critical competencies management in the multi-project environment. - Nataliia Dotsenko; Dmytro Chumachenko; Igor Chumachenko (CSIT (3), 2019)

Management of Critical Competencies in a Multi-Project Environment. - Nataliia Dotsenko; Dmytro Chumachenko; Igor Chumachenko (ICTERI, 2019)

Determining the Probability of Heart Disease using Data Mining Methods. - Kseniia Bazilevych; Ievgen Meniailov; Kirill Fedulov; Sergey Goranina; Dmytro Chumachenko; Pavlo Pyrohov (IDDM, 2019)

Intelligent Agent-Based Simulation of HIV Epidemic Process. - Dmytro Chumachenko; Tetyana Chumachenko (ISDMCI, 2019)

Intelligent Expert System of Knowledge Examination of Medical Staff Regarding Infections Associated with the Provision of Medical Care. - Dmytro Chumachenko; Victor Balitskii; Tetyana Chumachenko; Victoria Makarova; Maryna Railian (MoMLeT, 2019)

Using the K-means Method for Diagnosing Cancer Stage Using the Pandas Library. - Ievgen Meniailov; Kseniia Bazilevych; Kirill Fedulov; Sergey Goranina; Dmytro Chumachenko (MoMLeT, 2019)

On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach. - Dmytro Chumachenko; Tetyana Chumachenko; Ievgen Meniailov; Pavlo Pyrohov; Ihor Kuzin; Roman Rodyna (DSMP (Selected Papers), 2020)

Determination of Heart Disease Based on Analysis of Patient Statistics using the Fuzzy C-means Clustering Algorithm. - Ievgen Meniailov; Dmytro Chumachenko; Kseniia Bazilevych (DSMP, 2020)

The Concept of Developing a Decision Support System for the Epidemic Morbidity Control. - Sergiy Yakovlev; Kseniia Bazilevych; Dmytro Chumachenko; Tetyana Chumachenko; Leonid Hulianytskyi; Ievgen Meniailov; Anton Tkachenko (IDDM, 2020)

Development of Intelligent Information Technology of Computer Processing of Pedagogical Tests Open Tasks Based on Machine Learning Approach. - Arina Herasymova; Dmytro Chumachenko; Halyna Padalko (MoMLeT+DS, 2020)

Fuzzy Recurrent mappings in Multiagent simulation of Population dynamics Systems. - Dmytro Chumachenko; Oleksandr Sokolov; Sergiy Yakovlev (Int. J. Comput., 2020)

Intelligent System of Epidemic Situation Monitoring and Control. - Dmytro Chumachenko; Sergey Yakovlev (COLINS, 2021)

Formation of a project team using an intelligent logic-combinatorial approach. - Nataliya Dotsenko; Dmytro Chumachenko; Igor Chumachenko (CSIT (2), 2021)

On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine. - Dmytro Chumachenko; Ievgen Meniailov; Kseniia Bazilevych; Tetyana Chumachenko; Sergiy Yakovlev (EUSPN/ICTH, 2021)

Toward Reference Architecture of Control System Socio-Epidemic Processes of Emergent Infections. - Vil Bakirov; Dmytro Chumachenko; Tetyana Chumachenko; Sergey Lvov; Olena Muradyan; Grygoriy Zholtkevych (IDDM, 2021)

Intelligent Information Technology for Providing Human Resources to Projects in a Multi-Project Environment (keynote). - Nataliia Dotsenko; Dmytro Chumachenko; Yuliia Husieva; Iryna Kadykova; Igor Chumachenko (IntelITSIS, 2021)

Compartment Model of COVID-19 Epidemic Process in Ukraine. - Alireza Mohammadi; Tetyana Chumachenko; Lyubov Makhota; Dmytro Chumachenko (IT&AS, 2021)

Holt's Linear Model of COVID-19 Morbidity Forecasting in Ukraine. - Darina Kapusta; Serhii Krivtsov; Dmytro Chumachenko (MoMLeT+DS, 2021)

The Concept of Decisions Support System to Mitigate the COVID-19 Pandemic Consequences based on Social and Epidemic Processes Intelligent Analysis. - Dmytro Boyko; Dmytro Chumachenko; Tetyana Chumachenko; Sergey Lvov; Artem Lytovchenko; Olena Muradyan; Grygoriy Zholtkevych (ProfIT AI, 2021)

Machine Learning Approach to COVID-19 Epidemic Process Simulation using Polynomial Regression Model. - Darina Kapusta; Alireza Mohammadi; Dmytro Chumachenko (ProfIT AI, 2021)

Impact of Migration on COVID-19 Epidemic Process in Romania: a Simulation Study. - Dmytro Chumachenko; Pavlo Pyrohov; Sergiy Yakovlev (CSIT, 2022)

Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. - Dmytro Chumachenko; Alina S. Nechyporenko; Marcus Frohme (IDDM, 2022)

Forecasting of COVID-19 Epidemic Process in Ukraine and Neighboring Countries by Gradient Boosting Method. - Dmytro Chumachenko; Tetyana Chumachenko; Ievgen Meniailov; Olena Muradyan; Grigoriy Zholtkevych (ITEST, 2022)

Simulation of Impact of Migration Caused by the War in Ukraine on COVID-19 Epidemic Process in Moldova. - Dmytro Chumachenko; Pavlo Pyrohov; Lyubov Makhota (ProfIT AI, 2022)

Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting. - Dmytro Chumachenko; Ievgen Meniailov; Kseniia Bazilevych; Tetyana Chumachenko; Sergey Yakovlev (Comput., 2022)

Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. - Dmytro Chumachenko; Mykola Butkevych; Daniel Lode; Marcus Frohme; Kurt J. G. Schmailzl; Alina S. Nechyporenko (Sensors, 2022)

The Framework of Estimation of the Impact of the Russian War on the Infectious Diseases Spreading. - Dmytro Chumachenko; Tetyana Chumachenko (COLINS (3), 2023)

COVID-19 Misinformation Detection on Weibo by Support Vector Classifier. - Halyna Padalko; Vasyl Chomko; Dmytro Chumachenko (DESSERT, 2023)

A Data-Driven Simulation of Ukrainian Refugee Flows Impact on COVID-19 Dynamics in the UK. - Dmytro Chumachenko; Vasyl Chomko; Ievgen Meniailov; Serhii Krivtsov; Halyna Padalko (IDDM, 2023)

Estimation of Ukrainian Refugees Impact on COVID-19 Dynamics in Czech Republic using Prophet Model. - Dmytro Chumachenko; Vasyl Chomko; Ievgen Meniailov; Serhii Krivtsov; Halyna Padalko (ProfIT AI, 2023)

Misinformation Detection in Political News using BERT Model. - Halyna Padalko; Vasyl Chomko; Dmytro Chumachenko (ProfIT AI, 2023)

Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion's Effect on Italy's COVID-19 Dynamics. - Dmytro Chumachenko; Tetiana Dudkina; Tetyana Chumachenko; Plinio Pelegrini Morita (Comput., 2023)

Simulation of Influenza Dynamics With Lstm Deep Learning Model. - Mykola Butkevych; Ievgen Meniailov; Kseniia Bazilevych; Yurii Parfeniuk; Dmytro Chumachenko (IDDM, 2024)

A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study. - Shahabeddin Abhari; Somayeh Fatahi; Ashish Saragadam; Dmytro Chumachenko; Plinio Pelegrini Morita (MIE, 2024)

Simulation of Influenza Dynamics in Kharkiv Oblast (Ukraine) using ARIMA Model. - Mykola Butkevych; Dmytro Chumachenko (ProfIT AI, 2024)

The Impact of Stopwords Removal on Disinformation Detection in Ukrainian language during Russian-Ukrainian war. - Halyna Padalko; Vasyl Chomko; Dmytro Chumachenko (ProfIT AI, 2024)

Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices - A scoping review. - Kang Wang; Moojan Ghafurian; Dmytro Chumachenko; Shi Cao; Zahid A. Butt; Shahan Salim; Shahabeddin Abhari; Plinio P. Morita (Comput. Biol. Medicine, 2024)

A novel approach to fake news classification using LSTM-based deep learning models. - Halyna Padalko; Vasyl Chomko; Dmytro Chumachenko (Frontiers Big Data, 2024)

Artificial Intelligence Algorithms for Healthcare. - Dmytro Chumachenko; Sergiy Yakovlev (Algorithms, 2024)

Editorial: Outbreak oracles: how AI's journey through COVID-19 shapes future epidemic strategy. - Dmytro Chumachenko; Jasleen Kaur 004; Jake Y. Chen (Frontiers Artif. Intell., 2025)

A contactless method for recognition of daily living activities for older adults based on ambient assisted living technology. - Kang Wang; Ashish Saragadam; Jasleen Kaur 004; Ayan Dogra; Shi Cao; Moojan Ghafurian; Zahid A. Butt; Shahabeddin Abhari; Dmytro Chumachenko; Plinio P. Morita (Internet Things, 2025)

Investigation of machine learning approaches to classify war-related content during Russian full-scale invasion of Ukraine. - Halyna Padalko; Dmytro Chumachenko; Navneet Kaur; Irfhana Zakir Hussain; Jasleen Kaur 004; Matheus Lotto; Zahid A. Butt; Plinio Pelegrini Morita (Soc. Netw. Anal. Min., 2025)