A Data-Science Approach for Creation of a Comprehensive Model to Assess the Impact of Mobile Technologies on Humans

Abstract

Overview

Mobile technologies are pervasive in modern life, serving functions from communication to entertainment. Nonetheless, there exists significant concern regarding the electromagnetic fields (EMF) these devices emit and their potential risks to human health.

Findings

• A multifaceted approach integrating various research types like thermal imaging and electroencephalograms.
• Development of a complex model utilizing mathematical and statistical methods to study EMF effects deeply.
• Application of non-neural network methods yet retaining past successful methodologies for control.
• Signals processed during tests indicate EMF from mobile devices alters brain signal frequency, pointing to possible health impacts.

Conclusion

The study introduced a novel data-science method to pinpoint the harmful effects of EMF from mobile devices on the human body effectively. By integrating advanced statistical models and data processing techniques, the research demonstrated the adverse alterations in brain signal frequencies due to mobile device radiation, reaffirming the health risks associated with their use. Future research will explore optimizing this model relative to quality service parameters.