Kseniia Bazilevych

According to our database, Kseniia Bazilevych authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Comparative Analysis of the Machine Learning Dimensionality Reduction Methods on the Example of Fetal Health Determination.

Oleksii Khlystun, Kseniia Bazilevych

Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

Classification of Patients with Suspected Coronary Artery Disease Based on Locally Weighted Least Squares Method.

Mykola Butkevych, Kseniia Bazilevych, Iryna Trofymova

Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

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

Dimensionality Reduction of Chronic Kidney Disease Data using Principal Components Analysis.

Tetyana Chumachenko, Kseniia Bazilevych

Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2022) 2022, 2022

Cardiac Studies Diagnostic Data Informative Features Investigation based on Cumulative Frequency Analysis.

Kseniia Bazilevych, Mykola Butkevych, Nataliia Dotsenko

Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2022) 2022, 2022

2021

Intelligent Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using Shannon Method.

Kseniia Bazilevych, Serhii Krivtsov, Mykola Butkevych

Proceedings of the International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2021) 2021, 2021

Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method.

Olga Skitsan, Ievgen Meniailov, Kseniia Bazilevych, Halyna Padalko

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, 2021

Classification and Prediction of Diabetes Disease using Decision Tree Method.

Tetiana Dudkina, Ievgen Meniailov, Kseniia Bazilevych, Serhii Krivtsov, Anton Tkachenko

Proceedings of the Symposium on Information Technologies & Applied Sciences (IT&AS 2021), 2021

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

Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko, Sergiy Yakovlev

Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

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

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Determination of Heart Disease Based on Analysis of Patient Statistics using the Fuzzy C-means Clustering Algorithm.

Ievgen Meniailov, Dmytro Chumachenko, Kseniia Bazilevych

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019

Using the K-means Method for Diagnosing Cancer Stage Using the Pandas Library.

Ievgen Meniailov, Kseniia Bazilevych, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko

Proceedings of the Modern Machine Learning Technologies, 2019

Determining the Probability of Heart Disease using Data Mining Methods.

Kseniia Bazilevych, Ievgen Meniailov, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko, Pavlo Pyrohov

Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019

Development of an intelligent agent-based model of the epidemic process of syphilis.

Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Yuliia Kuznetsova, Tetyana Chumachenko

Proceedings of the IEEE 14th International Conference on Computer Sciences and Information Technologies, 2019