RETRACTED ARTICLE: Integrating Big Data and Assistive Technology to Improve College Students' Public Mental Health Quality During the COVID-19 Pandemic.

Abstract

The Corona Virus Disease 2019 (COVID-19) suddenly broke out in a large area in December 2019, and now it has become a "global pandemic". The World Health Organization (WHO) defines COVID-19 as a serious global public health emergency of high international concern. In the context of epidemic prevention and control, some universities adopt the method of students staying at home and online teaching by teachers. Faced with changes in the learning environment, interpersonal environment, and social environment, some university students exhibit a significant mental sub-health state, which gets high attention in the field of public health. This paper focuses on the problems of college students' public mental health quality under the current COVID-19, uses the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering analysis method, summarizes five big data mental health characteristic parameters, and optimizes the intelligent evaluation results of mental health. In addition, it explored how to use the huge information innovation to improve the mental health quality of college students in the COVID-19, and provided a certain direction for improving the mental health quality of college students.