Method for Determining the Body’s Level of Protection According to Oxidant Status in Assessing the Influence of Industrial Risk Factors on Health
Korenevskiy N.A. Al-Kasasbeh R.T. Al-Kasasbeh E. Al-Smady M.M. Aikeyeva A.A. Al-Jundi M. Rodionova S.N. Al-Habahbeh O.M. Filist S. Alshamasin M.S. Maksim I.
2023Begell House Inc.
Critical Reviews in Biomedical Engineering
2023#51Issue 21 - 17 pp.
This work aims at improving the quality of health assessments, specifically under the influence of occupational risk factors. For this purpose, additional informative indicators are utilized in prognostic and diagnostic models. The models are used to characterize the level of body protection based on oxidative status. A quantitative method is proposed to assess the body’s level of protection by means of the levels of lipid peroxidation and antioxidant activity, which characterize the body’s oxidative status. A mechanism is developed for integrating the proposed method into prognostic and diagnostic decision rules. The developed rules are in the form of mathematical models used to synthesize hybrid fuzzy decision rules, which are then used to quantify the level of body protection (LBP) against external risk factors, based on the use of protection level functions in terms of lipid peroxidation and antioxidant activity. A mechanism for embedding LBP into predictive and diagnostic decision rules has been proposed. The proposed method is used to predict the occurrence and development of coronary heart disease in railroad locomotive drivers. It was found that to improve the predicting and diagnosing of diseases caused by external pathogenic factors, quantitative assessments of LBP, determined by oxidative status, can be implemented. It has been established that the use of the protection level indicator in predictive decision rules makes it possible to increase the efficiency of the prediction while simultaneously increasing its accuracy.
antioxidant activity , body protection level , fuzzy decision rules , lipid peroxidation , oxidative status , protection level functions
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South-West State University, Kursk, Russian Federation
Department of Mechatronics Engineering, School of Engineering, The University of Jordan, Amman, Jordan
Al-Karak College, Al-Balqa Applied University, Jordan
Jordan University Hospital, Amman, Jordan
Eurasian National University, Nur-Sultan, Kazakhstan
Department of Endocrinology, Eunice Kennedy Shriver National Institute of Child and Human Development, National Institutes of Health, Bethesda, MD, United States
Department of Mechatronics Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan
ITMO University Kronverksky, St. Petersburg, Russian Federation
South-West State University
Department of Mechatronics Engineering
Al-Karak College
Jordan University Hospital
Eurasian National University
Department of Endocrinology
Department of Mechatronics Engineering
ITMO University Kronverksky
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