Synthesis of Models for Predicting and Diagnosing Occupational Diseases Based on Hybrid Fuzzy Technology

The purpose of research is to develop a method for synthesizing models for predicting and diagnosing occupational diseases based on hybrid fuzzy technology, providing an increase in the quality of decision-making in occupational pathology.

Methods. It is established that most of the problems related to the topic under study (forecasting, early diagnosis, assessment of the severity and dynamics of the development of professional diseases) belong to the class of poorly formalized problems with fuzzy and incomplete data structure, which are recommended to be solved using the methodology of synthesis of hybrid fuzzy solving rules based on on the interaction of the natural intelligence of doctors and a cognitive engineer with artificial hybrid intelligence. Using the chosen mathematical apparatus, a method for the synthesis of fuzzy models of forecasting and diagnosis of occupational diseases is proposed.

Results. As a concrete example, the problem of predicting and diagnosing ischemic heart disease (CHD) in electric train drivers has been solved with the allocation of such classes of conditions as: "healthy and the appearance of CHD is not expected"; "healthy, but the appearance of CHD is expected after the predicted time"; "early stage of CHD"; "CHD disease has been detected". As a result of expert evaluation, it was shown that the confidence in the correct classification is at the level of 0.9. The same result was confirmed by the results of statistical tests on representative control samples in terms of diagnostic sensitivity and specificity.

Conclusion. The proposed method of synthesis of hybrid fuzzy models makes it possible to synthesize hybrid decision rules that improve the quality of prediction and early diagnosis of the studied class of diseases both in the presence of training samples and in their absence by compensating for the lack of statistical material by methods of formalization of clinical thinking. As a concrete example, the problem of predicting and diagnosing ischemic heart disease in electric train drivers has been solved. It is shown that the confidence in the correct classification is at the level of 0.9, which allows us to recommend the results obtained for practical use in occupational pathology.

1. Korenevskij N. A., Shutkin A. N., Gorbatenko S. A., Serebrovskij V. I. Ocenka i upravlenie sostoyaniya zdorov'ya obuchayushchihsya na osnove gibridnyh intellektual'nyh tekhnologij [Assessment and management of the health status of students based on hybrid intellectual technologies]. Staryj Oskol, Tonkie naukoemkie texnologii Publ., 2016. 472 p.

2. Korenevskij N. A., Serebrovskij V. I., Stepashov R. V., Govoruxina T. N. Ispol'zovanie tekhnologii myagkih vychislenij dlya prognozirovaniya i diagnostiki professional'nyh zabolevanij rabotnikov agropromyshlennogo kompleksa [Using Soft Computing Technology to Predict and Diagnose Occupational Diseases of Agro-Industrial Workers]. Kursk, Kursk State Agricultural Academy Publ., 2016. 224 p.

3. Korenevskij N. A. Metod sinteza geterogennyh nechetkih pravil dlya analiza i upravleniya sostoyaniem biotekhnicheskih sistem [Method for the synthesis of heterogeneous fuzzy rules for the analysis and control of the state of biotechnical systems]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universitetyu. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2013, no. 2, pp. 99–103.

4. Serebrovskij V. I., Myasoedova M. A., Serebrovskij V. V., eds. Prognozirovanie i rannyaya diagnostika professional'nyh zabolevanij v elektroenergetike na osnove metodologii sinteza gibridnyh nechetkih reshayushchih pravil [Forecasting and early diagnosis of occupational diseases in the electric power industry based on the methodology for the synthesis of hybrid fuzzy decision rules]. Kursk, Kursk State Agricultural Academy Publ., 2019. 285 p.

5. Korenevskij N. A., Bashir A. S., Gorbatenko S. A. Sintez gibridnyh nechetkih pravil dlya prognozirovaniya, ocenki i upravleniya sostoyaniem zdorov'ya v ekologi-cheski neblagopriyatnyh regionah [Synthesis of hybrid fuzzy rules for forecasting, assessment and management of health in ecologically unfavorable regions]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universitetyu. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2013, no. 4, pp. 69–73.

6. Korenevskij N. A., Rodionova S. N., Xripina I. I. Metodologiya sinteza gi-bridnyh nechetkih reshayushchih pravil dlya medicinskih intellektual'nyh sistem podderzhki prityani reshenij [Methodology for the synthesis of hybrid fuzzy decision rules for medical intelligent decision support systems]. Staryj Oskol, TNT Publ., 2019. 472 p.

7. Korenevskij N. A., Razumova K. V. Sintez kollektivov gibridnyh nechetkih modelej ocenki sostoyaniya slozhnyh sistem [Synthesis of collectives of hybrid fuzzy models for assessing the state of complex systems]. Naukoemkie tekhnologii = High-Tech Technologies, 2014, vol. 15, no. 12, pp. 31–40.

8. Safronov R. I., Starodubceva L. V., Krikunova E. V. Perspektivy primeneniya myagkih vychislenij i informacionnyh tekhnologij v profpatologii [Prospects for the use of soft computing and information technologies in occupational pathology]. Kursk, Kursk State Agricultural Academy Publ., 2018. 232 p.

9. Filist S. A., Safronov R. I., Shul'ga L. V., Siplivyj G. V., Krikunova E. V., Milostnaya N. A. Ekspertnaya sistema kontrolya sostoyaniya pacientov, kontaktiruyushchih s pro-myshlennymi yadohimikatami [Expert system for monitoring the condition of patients in contact with industrial pesticides]. Medicinskaya texnika = Medical Equipment, 2021, no. 4, pp. 30–32.

10. Korenevskij N. A., Safronov R. I., Shul'ga L. V., Siplivyj G. V., Krikunova E. V. Ekspertnaya sistema prognozirovaniya i diagnostiki professional'nyh zabolevanij rabotnikov elektroenergetiki [Expert system for predicting and diagnosing occupational diseases of electric power workers]. Medicinskaya texnika = Medical Equipment, 2021, no. 6, pp. 48–51.

11. Korenevskij N. A., Rodionova S. N., Govoruxina T. N., Myasoedova M. A. Nechetkie modeli ocenki urovnya ergonomiki tekhnicheskih sistem i ee vliyanie na sostoyanie zdorov'ya cheloveka operatora s uchetom funkcional'nyh rezervov [Fuzzy models for assessing the level of ergonomics of technical systems and its impact on the state of human health of the operator, taking into account functional reserves]. Modelirovanie, optimizaciya i informacionnye tekhnologii = Modeling, Optimization and Information Technologies, 2019, vol. 7, no. 1 (24), pp. 39–53.

12. Korenevsky N. A., Gadalov V. N., Korovin E. N., Serebrovskiy V. I. Assessment of Ergonomics of Biotechnical Systems Using Shortliffe Fuzzy Models. Biomedical Engineering, 2013, vol. 47, is. 4, pp. 173–176.

13. Al-Kasasbeh R. T., Alshamasin M. S., Korenevskiy N., Maksim I. Method of ergonomics assessment of technical systems and its influence on operators heath on basis of hybrid fuzzy models. Advances in Intelligent Systems and Computing, 2018, no. 590, pp. 581–592.

14. Al-Kasasbeh R. T., Alshamasin M. S., Korenevskiy N., Korenevskya S., Al-Kasasbeh E. T., Maksim I. Fuzzy model evaluation of vehicles ergonomics and its influence on occupational diseases. Advances in Intelligent Systems and Computing, 2019, no. 792, pp. 143–154.

15. Korenevskij N. A., Grigorov I. Yu., Razumova K. V., Gorbunov V. A., Dmitrieva V. V., Degtyarev S. V. Kontrol' dinamiki razvitiya ishemicheskih processov v serdce po energeticheskomu razbalansu meridiannyh struktur organizma [Control of the dynamics of development of ischemic processes in the heart according to the energy imbalance of the meridian structures of the body]. Medicinskaya tekhnika = Medical Technique, 2020, no. 1 (319), pp. 47–49.

16. Korenevskij N. A., Hripina I. I., Shutkin A. N., Razumova K. V. [Synthesis of collectives of fuzzy decision rules for medical expert systems]. Nauchnaya sessiya NIYAU MIFI –2015. Tezisy doklada [Scientific session of NRU MEPhI – 2015. Abstracts of the report]. Moscow, National Research Nuclear University "MEPhI", 2015, p. 64. (In Russ.)

17. Korenevskij N. A., Rodionova S. N., Polyakov A. V., Govoruhina T. N. Metod sinteza matematicheskih modelej prognozirovaniya i rannej diagnostiki narushenij kognitivnyh funkcij [Method for synthesizing mathematical models of forecasting and early diagnosis of cognitive impairment]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2019, vol. 18, no. 4, pp. 85–92.

18. Korenevskij N. A., Myasoedova M. A., Razumova K. V., Serebrovskij A. V. Metod sinteza matematicheskih modelej prognozirovaniya i diagnostiki professional'nyh zabolevanij rabotnikov predpriyatij elektroenergetiki [Method for synthesizing mathematical models for predicting and diagnosing occupational diseases of employees of electric power enterprises]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universitetyu. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2019, vol. 9, no. 2 (31), pp. 127–143.

19. Korenevskij N. A., Stepashov R. V., Shutkin A. N., Cimbyl E. V., odionovaS. N. R, Rodionov D. S. Ispol'zovanie metodologii sinteza kollektivov gibridnyh nechetkih modelej dlya resheniya zadach ocenki sostoyaniya i upravleniya slozhnymi biotekhnicheskimi sistemam [Using the methodology of synthesis of collectives of hybrid fuzzy models for solving problems of assessing the state and control of complex biotechnical systems]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2018, vol. 14, no. 3, pp. 593.

20. Korenevskij N. A., Rodionova S. N., Hripina I. I., Myasoedova M. A. Gibridnye nechetkie modeli ocenki funkcional'nogo sostoyaniya i sostoyaniya zdorov'ya cheloveka-operatora informacionno nasyshchennyh sistem [Hybrid fuzzy models for assessing the functional state and health status of a human operator of information-rich systems]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2019, vol. 18, no. 2, pp.105–109.

21. Shutkin A. N., Bojcova E. A., Korenevskaya S. N., Provotorov V. YA. Ocenka funkcional'nogo sostoyaniya zdorov'ya cheloveka s ispol'zovaniem teorii izmereniya latentnyh peremennyh na osnove modelej G. Rasha [Evaluation of the functional state of human health using the theory of measurement of latent variables based on G. Rasch models]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2014, vol. 13, no. 4, pp. 927–932.

22. Safronov R. I. [The role of adaptive mechanisms in protecting the body from industrial risk factors]. Biotekhnologiya i biomedicinskaya inzheneriya. Sbornik nauchnyh trudov po materialam XII Vserossijskoj nauchno-prakticheskoj konferencii s mezhdunarodnym uchastiem, posvyashchennoj 87-letiyu Kurskogo gosudarstvennogo medicinskogo universiteta (27 oktyabrya 2022 g.) [Biotechnology and biomedical engineering. A collection of scientific papers based on the materials of the XII All-Russian scientific and practical conference with international participation dedicated to the 87th anniversary of Kursk State Medical University (October 27, 2022)]. Kursk, Kursk State Medical University of the Ministry of Health of Russia Publ., 2022, pp. 183–186. (In Russ.)

23. Safronov R. I., Krikunova E. V. [Assessment of the impact of working conditions on the state of human health in terms of its adaptive reserves and functional state]. Biotekhnologiya i biomedicinskaya inzheneriya. Sbornik nauchnyh trudov po materialam XII Vserossijskoj nauchno-prakticheskoj konferencii s mezhdunarodnym uchastiem, posvyashchennoj 87-letiyu Kurskogo gosudarstvennogo medicinskogo universiteta (27 oktyabrya 2022 g.) [Biotechnology and biomedical engineering. A collection of scientific papers based on the materials of the XII All-Russian scientific and practical conference with international participation dedicated to the 87th anniversary of Kursk State Medical University (October 27, 2022)]. Kursk, Kursk State Medical University of the Ministry of Health of Russia Publ., 2022, pp. 123–126. (In Russ.)

24. Korenevskij N. A., Aksenov V. V., Rodionova S. N., Gontarev S. N., Lazurina L. P., Safronov R. I. Metod kompleksnoj ocenki urovnya informativnosti klassifikacionnyh priznakov v usloviyah nechetkoj struktury dannyh [A method for a comprehensive assessment of the level of information content of classification features in conditions of a fuzzy data structure]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universitetyu. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2022, no. 3, pp. 80–96.

25. Korenevskij N. A., Rodionova S. N., Krikunova E. V., Starodubceva L. V., Skidanchuk M. V. Kolichestvennaya ocenka zashchitnyh mekhanizmov organizma po ego oksidant-nomu statusu [Quantitative assessment of the body's defense mechanisms according to its oxidative status]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universitetyu. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2021, vol. 11, no. 4, pp. 146–162.

26. Korenevskij N. A., Rodionova S. N., Starodubceva L. V., Milostnaya N. A., Korenevskaya E. N. Metod opredeleniya urovnya zashchity organizma po ego oksidantnomu statusu v zadachah ocenki vliyaniya proizvodstvennyh faktorov riska na sostoyanie zdorov'ya [Method for determining the level of protection of the organism by its oxidative status in the tasks of assessing the impact of occupational risk factors on the state of health]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2022, vol. 21, no. 3, pp. 75–89.

27. Korenevskij N. A., Krupchatnikov R. A. Informacionno-intellektual'nye sistemy dlya vrachej refleksoterapevtov [Information and intellectual systems for reflexologists]. Staryj Oskol, TNT Publ., 2013. 424 p.

28. Korenevskij N. A., Rodionova S. N., Krikunova E. V., Safronov R. I., Belozerov V. A. Metody kolichestvennoj ocenki zashchitnyh mekhanizmov organizma na razlichnyh ego urovnyah na osnove gibridnyh nechetkih modelej i ih ispol'zovanie v zadachah prognozirovaniya i medicinskoj diagnostiki [Methods for quantitative assessment of the body's defense mechanisms at its various levels based on hybrid fuzzy models and their use in forecasting and medical diagnostics]. Medicinskaya tekhnika = Medical Technique, 2022, no. 3 (333), pp. 24–27.

29. Korenevskij N. A., Krupchatnikov R. A., Al-Kasasbekh R. T. Teoreticheskie osnovy biofiziki akupunktury s prilozheniyami v medicine, psihologii i ekologii na osnove nechetkih setevyh modelej [Theoretical foundations of the biophysics of acupuncture with applications in medicine, psychology and ecology based on fuzzy network models]. Staryj Oskol, TNT Publ., 2020. 528 p.

30. Al-Kasasbeh R.T., Korenevskiy N., Alshamasin M., Klionskiy D. Bioengineering system for prediction and early prenosological diagnostics of stomach diseases based on energy characteristics of bioactive points with fuzzy logic. Biosensors and Bioelectronics, 2015, vol. 6, no. 4, pp. 1–9.

31. Al-Kasasbeh R.T., Korenevskiy N., Alshamasin M. S., Klionskiy D., Ionescu F. Numerical software algorithms for monitoring control processes and correcting health by synthesis of hybrid fuzzy rules of decision-making on the basis of changes in energetic characteristics of biologically active points. International Journal of Modelling, Identification and Control, 2016, vol. 25, no. 2, pp. 119–137.

32. Al-Kasasbeh R. T., Korenevskiy N. A., Ionescu F., Alshamasin M., Smith A. P., Alwadie A., Aljbour S. Application of fuzzy analysis with the energy condition of bioactive points to the prediction and diagnosis of gastrointestinal tract diseases. International Journal of Biomedical Engineering and Technology, 2013, vol. 11, no. 2, pp. 136–154.

33. Al-Kasasbeh R. T., Zaubi M. A. A., Korenevskiy N., Al-Shawawreh F., Alshamasin M. S., Ionescu F. A biotech measurement software system using controlled features for determining the level of psycho-emotional tension on man-machine system operators by bio-active points based on fuzzy logic measures. International Journal of Modelling, Identification and Control, 2014, vol. 22, no. 4, pp. 375–395.

34. Al-Kasasbeh R. T., Korenevskiy N., Alshamasin M., Klionskiy D. Bioengineering system for prediction and early prenosological diagnostics of stomach diseases based on energy characteristics of bioactive points with fuzzy logic. Biosensors and Bioelectronics, 2015, vol. 6, no. 4, pp. 1–9. https://doi.org/10.4172/2155-6210.1000182

35. Korenevskij N. A., Grigorov I. Yu., Govoruhina T. N., Krupchatnikov R. A. Metod sinteza nechetkih modelej i rannej diagnostiki professional'nyh zabolevanij rabotnikovgal'vanicheskih proizvodstv [Synthesis of fuzzy models and early diagnosis of occupational diseases in galvanic workers]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah = System Analysis and Management in Biomedical Systems, 2019, vol. 18, no. 3, pp. 163–169.