Abstract
In the ongoing four months, there has been a colossal worldwide effect of COVID-19 on human emotional wellness and has disrupted the lives of people in many ways but mental health has always been the main issue in recent times. Specialists ought to endeavour to survey the effect of COVID-19 on other vulnerable populations. For example, children, those in remote areas and those having a lower financial strait. The psychological wellness research network has a significant obligation and the chance to drastically extend our understanding of how enormous scope of well-being and different crises may impact emotional wellness. The COVID-19 pandemic has many provocations in all respects of life for the complete human being race. Of all aspects, mental health is a vital part of the situation. So basically, the target of this study is to traverse the impacts of COVID-19 on people’s mental health as the emergency has caused several problems like stress, anxiety and depression based on several Machine learning predict models.
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Naiem, R., kaur, J., Mishra, S., Saxena, A. (2022). Impact of COVID-19 Pandemic on Mental Health Using Machine Learning and Artificial Intelligence. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1387. Springer, Singapore. https://doi.org/10.1007/978-981-16-2594-7_21
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