Title: Managing infectious and inflammatory complications in closed kidney injuries on the basis of fuzzy models

Authors: Nikolay Korenevskiy; Seregin Stanislav Petrovich; Riad Taha Al-Kasasbeh; Ayman Ahmad Alqaralleh; Gennadij Vjacheslavovich Siplivyj; Mahdi Salman Alshamasin; Sofia Nikolaevna Rodionova; Ivan Mikhailovich Kholimenko; Maxim Yurievich Ilyash

Addresses: Southwest State University, 305040, St. 50 Let Oktyabrya, 94, Kursk, Russia ' Southwest State University, 305040, St. 50 Let Oktyabrya, 94, Kursk, Russia ' Department of Electrical Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, P.O. Box 541324, Amman 11937, Jordan ' Medical Royal Service, King Hussein Hospital, Jordan ' Kursk State Medical University, Ulitsa Karla Marksa, 3, Kursk, Kursk Oblast, Russia ' Department of Mechatronics, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan ' Southwest State University, 305040, St. 50 Let Oktyabrya, 94, Kursk, Russia ' Kursk City Clinical Emergencies Hospital, Pirogova Street, 14, 1st Floor, District Central District, Kursk, Russia ' Department of Information Technologies in the Fuel and Energy Complex, ITMO University, 49 Kronverksky Pr. St. Petersburg, 197101, Russia

Abstract: The aim of this work is to reduce the time and cost of forecasting, preventing and treating patients with infectious complications with kidney injuries. The study is based on the results of a retrospective analysis of the medical records of 123 patients with various forms of kidney injury. Using the methods of analysis, it was shown that in order to achieve acceptable for practice quality prediction of possible infectious and inflammatory complications, the level of psycho-emotional stress and energy of biologically active points 'connected' to the kidneys is used as additional prognostic signs, with the confidence in the correct prediction increasing to 0.93.

Keywords: class membership functions; exploratory analysis; fuzzy logic; level of psycho-emotional stress; prognosis; risk of developing infectious; inflammatory complications; treatment regimens.

DOI: 10.1504/IJMEI.2023.127253

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.1, pp.33 - 44

Received: 17 Sep 2020
Accepted: 31 Jan 2021
Published online: 30 Nov 2022 *