Title: Biotechnical system and fuzzy logic models for prediction and prevention of post-traumatic inflammatory complications in patients with blunt renal trauma

Authors: Riad Taha Al-Kasasbeh; Nikolay Alexeyevich Korenevskiy; Seregin Stanislav Petrovich; Chernega Marina Sergeevna; Aikeyeva Altyn Amanzholovna; Maxim Yuriovich Ilyash

Addresses: Faculty of Engineering Technology, Al-Balqa Applied University, Amman 11937, P.O. Box 541324, Jordan ' Faculty of Biomedical Engineering, Southwest State Technical University, 94, 50 Let Oktyabrya, Kursk, 305040, Russia ' Faculty of Biomedical Engineering, Southwest State Technical University, 94, 50 Let Oktyabrya, Kursk, 305040, Russia ' Faculty of Biomedical Engineering, Southwest State Technical University, 94, 50 Let Oktyabrya, Kursk, 305040, Russia ' Department of Technological Machines and Transport, Karaganda State Industrial University, 101400 Respubliki Ave., 30, Temirtau, Kazakhstan ' Department of Information Technologies in the Fuel and Energy Complex, ITMO University, 49 Kronverksky Pr., St. Petersburg, 197101, Russia

Abstract: Fuzzy logic approach is developed and trained to predict occurrence of health implications in blunt kidneys patients. Fuzzy logic is selected because it merges expert judgement with real patients' data analysis. A fuzzy decision rules system for forecasting the posttraumatic inflammatory complications of patients with blunt kidneys injury were according to the medical and laboratory testing of the research. The research shows high level of lipid peroxidation and antioxidant activity. The research predicts occurrence of complications and physician can describe prevention and treatment by combining physical therapy treatments with antioxidant and detoxification therapy.

Keywords: injury of the kidney; prognosis; prevention; fuzzy mathematical model.

DOI: 10.1504/IJBET.2021.120193

International Journal of Biomedical Engineering and Technology, 2021 Vol.37 No.4, pp.395 - 416

Received: 28 Sep 2018
Accepted: 18 Dec 2018
Published online: 11 Jan 2022 *

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