USING BAYESIAN METHODS IN THE TASK OF MODELING THE PATIENTS' PHARMACORESISTANCE DEVELOPMENT

Mariia A. Voronenko, Ulzhalgas Zhunissova, Saule S. Smailova, Luidmila N. Lytvynenko, Nataliia B. Savina, Pavlo P. Mulesa, Volodymyr I. Lytvynenko

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska, 2022

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DOI 10.35784/iapgos.2968

Data confidence 70 medium

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Abstract

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.