Title: Developing a biotechnical scheme using fuzzy logic model for classification of severity of pyelonephritis

Authors: Nikolay Korenevskiy; Seregin Stanislav Petrovich; Riad Taha Al-Kasasbeh; Ayman Ahmad Alqaralleh; Sofia Nikolaevna Rodionova; Ashraf Adel Shaqadan; Ilyash Maxim Yurievich; Mahdi Salman Alshamasin

Addresses: South West State University, 305040, St. 50 Let Oktyabrya, 94, Kursk, Russia ' South West State University, 305040, St. 50 Let Oktyabrya, 94, Kursk, Russia ' Department of Mechatronics Engineering, Faculty of Engineering, The University of Jordan, Aljubeiha, Amman, Jordan ' Medical Royal Service, King Hussein Hospital, Amman, Jordan ' South West State University, 305040, St. 50 Let Oktyabrya, 94, Kursk, Russia ' Civil Engineering Department, Faculty of Engineering Technology, Zarqa University, Jordan ' Department of Information Technologies in the Fuel and Energy Complex, ITMO University, 49 Kronverksky Pr. St. Petersburg, 197101, Russia ' Department of Mechatronics, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan

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.

Keywords: pyelonephritis; serious and purulent form; fuzzy logic; mathematical models; differential diagnosis; oxidative status.

DOI: 10.1504/IJMEI.2023.134533

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.6, pp.525 - 539

Received: 08 Feb 2021
Accepted: 24 Jul 2021
Published online: 27 Oct 2023 *

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