A System For Monitoring And Managing The Anxiety Among The Young People Using Machine Learning

Abstract

In the modern world, the young people face several challenges. Challenges in the personal life, the workplace, social life, among which Covid-19 has had an adverse effect on the physical and mental health of young people. On the other hand, with the exhibitive increase in population, the use of traditional methods in the treatment of many diseases like anxiety no longer seems possible. However, controlling and monitoring patients' anxiety status in the context of intelligent systems can be of higher accuracy, velocity, and quality. In this study, we proposed a system for monitoring and managing anxiety theoretically using machine learning technology.  Examining machine learning (ML) techniques has high accuracy, speed, and flexibility. Hence, a pattern was presented, as well as the tools, how to prepare the data collection, and how to obtain the desired output. Highly-accurate detection of anxiety is the first effective step for treatment, for this purpose, supervised learning algorithms have been chosen. Finally, this study has presented the theoretical framework to find gaps in this regard.