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)

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)

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

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)

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)

Classification and Prediction of Diabetes Disease using Decision Tree Method. - Tetiana Dudkina; Ievgen Meniailov; Kseniia Bazilevych; Serhii Krivtsov; Anton Tkachenko (IT&AS, 2021)

Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method. - Olga Skitsan; Ievgen Meniailov; Kseniia Bazilevych; Halyna Padalko (MoMLeT+DS, 2021)

Intelligent Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using Shannon Method. - Kseniia Bazilevych; Serhii Krivtsov; Mykola Butkevych (ProfIT AI, 2021)

Cardiac Studies Diagnostic Data Informative Features Investigation based on Cumulative Frequency Analysis. - Kseniia Bazilevych; Mykola Butkevych; Nataliia Dotsenko (ProfIT AI, 2022)

Dimensionality Reduction of Chronic Kidney Disease Data using Principal Components Analysis. - Tetyana Chumachenko; Kseniia Bazilevych (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)

Classification of Patients with Suspected Coronary Artery Disease Based on Locally Weighted Least Squares Method. - Mykola Butkevych; Kseniia Bazilevych; Iryna Trofymova (ProfIT AI, 2023)

Comparative Analysis of the Machine Learning Dimensionality Reduction Methods on the Example of Fetal Health Determination. - Oleksii Khlystun; Kseniia Bazilevych (ProfIT AI, 2023)

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