Class-Oriented Features Selection Technology in Medical Images Classification Problem on the Example of Distinguishing Between Tuberculosis Sensitive and Resistant Forms. - Oleksandr Matviichuk; Olena Nosovets; Mykola Linnik; Oleksandr Davydko; Vladimir Pavlov; Ievgen Nastenko (CSIT (1), 2021)

Forming the System with the Functionality of Clinical Pharmacist for Personalized Treatment Strategy Searching. - Vitalii Babenko; Olena Nosovets; Ievgen Nastenko; Volodymyr Pavlov; Viktoria Iakymchuk; Oleksandr Matviichuk; Maksym Suvorov (ICICT (1), 2021)

Positional Approach to the Voting Function Formation of Random Forest Trees as an Example of Solving the Differentiating Tuberculosis Forms Problem. - Oleksandr Matviichuk; Oksana Biloshytska; Olena Horodetska; Vladimir Pavlov; Mykola Linnik; Ievgen Nastenko (CSIT, 2022)

A classifier of the Random Forest type based on GMDH, logistic transformation and positional voting. - Yaroslav Hladkyi; Oleg Radchenko; Vladimir Pavlov; Oleksandr Matviichuk; Olena Horodetska (CSIT, 2023)

Determining of Predictors for Diagnostic Conclusion for Patients with Post-Traumatic Stress Disorder Using Class-Oriented Features Selection Technology and Group Method of Data Handling. - Eldar Aliiev; Oleksii Omelchenko; Boris Tarasiuk; Oleksandr Zakomornyi; Oleksandr Matviichuk; Vladimir Pavlov (CSIT, 2024)