Hybrid fuzzy models were constructed for prognostication and early diagnosis of nervous system diseases caused by exposure to electromagnetic fields in the radio-frequency range. It was shown that analysis of additional information on the state of health of subjects exposed to electromagnetic risk factors increased the prognostic confidence to 0.85 and the confidence of diagnosis of early stages of nervous system diseases to 0.92.
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Pal’tsev, Yu. P., Pokhodzei, L. V., Rubtsova, N. B., Perov, S. Yu., and Bogacheva, E. V., “The challenge of studying the effects of electromagnetic fields on human health. Outcomes and perspectives,” Med. Truda Promyshl. Ekol., No. 6, 35-40 (2013).
Grigor’ev, Yu. G. and Grigor’ev, O. A., Cellular Communications and Health: Electromagnetic Equipment, Radiobiological and Hygiene Challenges, and Prediction of Danger [in Russian], Ekonomika, Moscow (2013).
Nikitina, V. G., Lyashko, G. G., Necheporenko, E. Yu., et al., The Electromagnetic Environment at Workplaces with Personal Computers [in Russian], Russian National Committee for Protection from Non-ionizing Radiation 2011, Center for Electromagnetic Safety, Moscow (2012), pp. 131-137.
Korenevskiy, N. A. and Titova, A. V., “A method for the synthesis of fuzzy models for assessment of the effects of radio-frequency electromagnetic fields on the state of health,” Izv. Yugo Zapad. Gos. Univ. Ser. Uprav. Vyshislit. Tekhn. Info. Med. Priborostr., 10, No. 2, pp. 102-117 (2020).
Myasoedova, M. A., Korenevskiy, N. A., Starodubtseva, L. V., and Pisarev, M. V., “Mathematical models for assessment of the effects of electromagnetic fields on the onset and progression of occupational diseases in the electrical energy industry,” Model. Optim. Inform. Tekhnol., 7, No. 2, 27-42 (2019).
Korenevskiy, N. A., Myasoedova, M. A., Razumova, K. V., and Serebrovskii, A. V., “A method for synthesis of mathematical models of occupational diseases in workers at electrical energy facilities,” Izv. YuZGU Ser. Uprav. Vych. Tekhn. Inform. Med. Priborostr., 9, No. 2, 127-143 (2019).
Myasoedova, M. A., Prognostication and Early Diagnosis of Occupational Diseases in Workers in the Electrical Energy Industry Based on Hybrid Fuzzy Models [in Russian], Dissertation for Candidate’s Degree in Technical Sciences, Kursk (2019).
Korenevskiy, N. A., “Design of fuzzy decision networks tuned to the structure of data for medical diagnosis tasks,” Sist. Anal. Uprav. Biomed. Sist., 4, No. 1, 12-20 (2005).
Korenevskiy, N. A., “Application of fuzzy logic for decision-making in medical expert systems,” Biomed. Eng., 49, 46-49 (2015).
Korenevskiy, N. A., Rodionova, S. N., and Khripina, I. I., Methodology for the Synthesis of Hybrid Fuzzy Decision Rules for Medical Intelligent Systems for Decision Making [in Russian], TNT, Staryi Oskol (2019).
Korenevskiy, N. A., Serebrovskii, N. A., Kopteva, V. I., and Govorukhina, N. A., Prognostication and Diagnosis of Diseases Induced by Harmful Industrial and Ecological Factors on the Basis of Heterogeneous Models [in Russian], KGSKhA, Kursk (2012).
Korenevskiy, N. A., Krupchatnikov, R. A., and Al’-Kasasbekh, R. T., Theoretical Bases of the Biophysics of Acupuncture with Applications in Medicine, Psychology, and Ecology Based on Fuzzy Network Models [in Russian], TNT, Staryi Oskol (2013).
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Translated from Meditsinskaya Tekhnika, Vol. 55, No. 5, Sep.-Oct., 2021, pp. 36-39.
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Korenevskiy, N.A., Titov, D.V., Titova, A.V. et al. An Expert System for Assessing the State of Health of Operators of Human–Machine Systems Exposed to Radio-Frequency Electromagnetic Fields. Biomed Eng 55, 350–354 (2022). https://doi.org/10.1007/s10527-022-10134-1
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DOI: https://doi.org/10.1007/s10527-022-10134-1