Modeling the possibility of obtaining multiple occupational diseases by employees of a technogenically dangerous enterprise

Кhorolskyi, Valentin and Хорольський, Валентин Петрович and Serebrennikov, Vadim and Серебреников, Вадим Михайлович and Kvitka, Tetyana and Квітка, Тетяна Володимирівна and Квитка, Татьяна Владимировна (2020) Modeling the possibility of obtaining multiple occupational diseases by employees of a technogenically dangerous enterprise. Вісник Хмельницького національного університету (1). pp. 143-148. ISSN 2307-5740

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Abstract

At present, enterprises of Ukraine, where minerals are extracted and processed, are characterized as technologically dangerous. First of all, this is due to the fact that these enterprises are sources of pollution and dustiness of the environment. As a result, the conditions in which workers at such enterprises operate are so dangerous that they cause occupational diseases af ter some time. Of particular note is the impact in areas where industrial complexes are located within the city. Moreover, the variety of such diseases is quite large, which can cause several professional diseases at the same time. It is clear that a very important problem arises of diagnosing such diseases in workers according to the identified symptoms and analyzes. At the same time, based on the results of a medical examination of employees of a technologically dangerous enterprise, it is advisable to carry out mathematical modeling of the medical condition of workers in order to present information in digital form. This presentation of information about the medical condition of the employee will make it possible to turn syntactic information into semantic and even pragmatic. Using this information, the consumer will be able to objectively, of course, at the level of reliability of the model, draw conclusions about the current state of health of employees, outline the ways of their treatment and follow the results of thi s treatment. The application of methods of probability theory, based on the classical approach, made it possible to obtain analytical formulas for calculating the probabilities of all possible options for workers with occupational diseases of a technologicall y dangerous enterprise. The simulation, based on employee health statistics, has made it possible to calculate the probability of an employee getting different combinations of occupational diseases.

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