Fuzzy models of early diagnosis of neuroses provoked by risk factors of engineering labor

The purpose of the research to synthesize fuzzy models of early diagnosis of neuroses provoked by risk factors in engineering work that ensure the quality of decisions made is acceptable for practical medicine.

Methods. Analysis of the data structure and the studied classes of neurotic disorders showed that early diagnostic tasks, including early diagnosis of neuroses, belong to the class of poorly formulated tasks. This allows using the methodology of synthesis of hybrid fuzzy decision rules, developed at the South-West State University, as a basic mathematical apparatus. The effectiveness of using this methodology has been repeatedly tested on various problems of forecasting and medical diagnostics with a data structure similar to our problem.

Results. In the course of the research, three levels of checking the quality of the work of the resulting decision-making models were implemented. At the first level, the assessment was carried out by experts by determining confidence levels in the resulting decision rules. At the second level, the experts compiled model control samples, according to which the number of correct and erroneous decisions of the diagnostic model was determined. At the third level of control, control samples were formed in which the presence of early stages was checked using independent generally accepted research methods. The calculations showed that the quality of classification exceeds 0.95.

Conclusion. Fuzzy decisive rules for diagnosing the early stages of neuroses in engineering and technical workers were obtained. provoked by risk factors of engineering work. The assessment of the quality of early diagnosis was carried out using methods of expert assessment, mathematical modeling and statistical analysis and showed that the resulting hybrid fuzzy models provide acceptable quality of early diagnosis of neurotic disorders in engineering and technical workers of various specialties working in conditions of varying work intensity.

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