Abstract
The article shows that professional risk is caused by many interrelated factors, which is a big problem when developing ways to manage it. It is shown that one of the most effective professional risk management tools is the use of expert decision support systems using the methods of predictive modelling of events and incidents. The effective operation of such systems should be based on databases of occupational risk factors, created on the basis of a study of the causes of real cases of industrial injuries. In the work, analysis and statistical processing of data on 593 accidents for the period of time from 2012 to 2016 that occurred at the enterprises of the Belgorod region was carried out. Using univariate analysis of variance, the most significant factors affecting the level of industrial injuries were identified. A database on occupational injury factors was created, which became the basis for an expert decision support system in the field of occupational safety management.
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CITATION STYLE
Yu Semeykin, A., Kochetkova, I. A., Klimova, E. V., & Nosatova, E. A. (2019). Expert Information-Analytical Decision Support System for Professional Risk Management Based on the Database of Real Cases of Industrial Injuries. In IOP Conference Series: Earth and Environmental Science (Vol. 224). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/224/1/012011
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