Developing a biotechnical scheme using fuzzy logic model for classification of severity of pyelonephritis Online publication date: Fri, 27-Oct-2023
by Nikolay Korenevskiy; Seregin Stanislav Petrovich; Riad Taha Al-Kasasbeh; Ayman Ahmad Alqaralleh; Sofia Nikolaevna Rodionova; Ashraf Adel Shaqadan; Ilyash Maxim Yurievich; Mahdi Salman Alshamasin
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 15, No. 6, 2023
Abstract: The aim of the work is to develop fuzzy logic model to process health data involving oxidative indicators in patients with pyelonephritis to predict the severity level of pyelonephritis as severe and purulent forms. A 13 immunity and oxidative health indicators (lipid peroxidation) are used for classification of disease severity. A control sample of patient's is analysed to develop class's and experienced physicians are consulted to modify considered class limits. The fuzzy logic model gives high accuracy in diagnosis of serous and purulent pyelonephritis in patients with urolithiasis. Verification of the results of the operation of the obtained decision rules on the control sample showed that the proposed method's diagnostic efficiency reaches 93%, which is acceptable for use in medical practice.
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