Abstract

Overview

The study aims to enhance the standard of medical care for individuals working in the electric power industry who are exposed to industrial frequency electromagnetic fields and other relevant risk factors. This enhancement is sought through the integration of fuzzy mathematical models with contemporary information and intellectual technologies.

Findings

• Development of a methodological framework for synthesizing hybrid fuzzy decision rules.
• Combination of clinical expertise with artificial intelligence methodologies to improve problem-solving strategies.
• Creation of an original method to evaluate the body's protective capacity, integrated into the decision rules, enhancing the precision and efficacy of medical decision-making processes.
• Identification of a correlation between industrial frequency electromagnetic fields and significant social illnesses, exacerbated by other risk factors such as adverse microclimates, noise, vibration, chemical exposure, and psychological stress.
• Potential impact on various bodily systems including neurological, immunological, cardiovascular, genitourinary, respiratory, and digestive systems.

Conclusion

The development of mathematical models enables early detection and diagnosis of disorders in workers exposed to electromagnetic fields, especially concerning the autonomic nervous system and heart rhythm regulation. These findings have practical applications in clinical settings for treating personnel in the electric power industry, backed by high confidence levels in decision-making accuracy.