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免疫状态评估 生物技术系统 模糊集建模 职业健康

同时包含免疫状态评估、生物技术系统、模糊集建模、职业健康的农业资讯,共 1 条。

论文Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering一手来源

Impact of production factors on the immune system: theoretical foundations and practical aspects

The purpose of the research is to develop and validate an approach to assessing the impact of occupational factors on workers' immune status using mathematical modeling, data analysis, and elements of fuzzy set theory, taking into account the complex impact of occupational environmental factors. Methods. The study utilized statistical analysis, correlation analysis, and elements of fuzzy logic to construct a predictive model for assessing the immune system's state. The study is based on the analysis and systematization of modern Russian scientific publications in the fields of occupational medicine, immunology, and biotechnical systems. The influence of the main groups of occupational factors, including physical, chemical, and psychophysiological influences, on workers' immune status indicators is examined. Standard methods of mathematical statistics were used to process the data, assessing the reliability of the results obtained. Results. It was established that exposure to adverse occupational factors leads to statistically significant changes in immune system indicators, including a decrease in the body's adaptive capacity, disruption of the regulatory mechanisms of the immune response, and an increased likelihood of developing functional abnormalities. The developed mathematical model allows for the combined influence of various factors to be taken into account, for a quantitative assessment of the risk of immune system disorders, and for the prediction of adverse conditions. The results obtained are consistent with current research data and confirm the effectiveness of the proposed approach. Conclusion. The proposed approach can be used in the development of biotechnical systems for monitoring worker health, as well as in decision support systems in the areas of occupational health, industrial safety, and the prevention of occupational diseases.

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