USING BAYESIAN METHODS IN THE TASK OF MODELING THE PATIENTS PHARMACORESISTANCE DEVELOPMENT
ZASTOSOWANIE METOD BAYESOWSKICH DO MODELOWANIA ROZWOJU FARMAKOOPORNOŚCI U PACJENTÓW
Voronenko M.A. Zhunissova U.M. Smailova S.S. Lytvynenko L.N. Savina N.B. Mulesa P.P. Lytvynenko V.I.
2022Politechnika Lubelska
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska
2022#12Issue 277 - 82 pp.
In this paper, we propose a methodology for using static Bayesian networks (BN) in modeling the development of pharmacoresistance in patients with a diagnosis of epilepsy. Methods for constructing the structure of a static BN, their parametric training, validation, sensitivity analysis and “What-if” scenario analysis are considered. The model was designed in collaboration with expert doctors, as well as expert pharmacologists in the selection and quantification of input and output variables.
Bayesian networks , epileptology , parametric learning , pharmacoresistance , sensitivity analysis , structural learning , validation
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Kherson National Technical University, Kherson, Ukraine
Lublin University of Technology, Lublin, Poland
D.Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk, Kazakhstan
Kherson City Psychoneurological Clinic, Kherson, Ukraine
National University of Water and Environmental Engineering, Rivne, Ukraine
Uzhhorod National University, Uzhhorod, Ukraine
Kherson National Technical University
Lublin University of Technology
D.Serikbayev East Kazakhstan State Technical University
Kherson City Psychoneurological Clinic
National University of Water and Environmental Engineering
Uzhhorod National University
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