Abstract

Numerous studies of domestic and foreign researchers show that long-term exposure to electromagnetic fields (EMF) of artificial radio frequency range have negative effects on the human body. At the same time, if the effects of EMF of significant intensity are sufficiently well studied and regulated by the relevant sanitary norms and rules and state Standards, the harmful effects of low-intensity EMF are confirmed by many researchers, but there are practically no quantitative estimates of their impact on human health in combination with other exogenous and endogenous factors. In real conditions, the human body is often exposed to combined, combined and mixed EMF effects of various frequency ranges of different intensity, which cause a multiplicative effect, leading to an increased risk of occurrence and development of a number of socially significant diseases, especially when they are long-term exposure

Highlights

  • An analysis of the literature on assessing the impact of electromagnetic fields (EMF) on the human body has shown that it is mainly focused on statistical analysis of morbidity

  • The synthesis of reliable models of decision-making about the state of people exposed to industrial radio frequency EMF is complicated by the fact that in addition to the studied risk factors, they are affected by numerous additional factors that often have an incomplete and unclear representation with an overlapping "poorly" defined class structure

  • * Corresponding author: nyatarrr@yandex.ru https://doi.org/10.10 51/matecconf /202134603001. In these conditions, taking into account the recommendations of the Department of biomedical engineering (BMI) of the Southwest State University (SWSU), it is advisable to use the methodology of hybrid fuzzy decision rules synthesis (MHFDRS), described in sufficient detail in [1, 2], to obtain "reliable" predictive and diagnostic decision rules

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Summary

Introduction

An analysis of the literature on assessing the impact of EMF on the human body has shown that it is mainly focused on statistical analysis of morbidity. Nowadays the human body is exposed to combined, combined and mixed EMF effects of various frequency ranges of different intensity, which cause a multiplicative effect, leading to an increased risk of occurrence and development of diseases. In these conditions, taking into account the recommendations of the Department of biomedical engineering (BMI) of the Southwest State University (SWSU), it is advisable to use the methodology of hybrid fuzzy decision rules synthesis (MHFDRS), described in sufficient detail in [1, 2], to obtain "reliable" predictive and diagnostic decision rules

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