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In this era of rapid development of knowledge economy, the social demand for high-quality talents is growing, which makes the number of college students in China surge. With the progress of massification of higher education in China, the penetration rate of higher education has increased from 30% in 2012 to 57.8% in 2021, signifing that higher education is moving to a higher level of development (Coghill, 2021).
Both the social development needs and students' self-requirements have elevated students’ requirements, which invariably increase the burden on college students. The pressure faced by college students is gradually increasing, and at the same time, the change in environment also puts forward new requirements for college students. College students are generally in the age of 18-23 years old. They enter college from high school, breaking the closed learning state of junior and senior high school and entering a colorful mini-society (Paton et al., 2022). Facing heavy academic pressure, college students often must cope with academic tasks such as exams and assignments and deal with practical work such as internships and part-time jobs, which may cause them to feel anxious, nervous, and stressed. In addition, social pressure is also an essential factor as college students need to adapt to new social environments, establish interpersonal relationships, and face expectations and evaluations from classmates, teachers, and family members, and this social pressure may also have an impact on their psychological conditions (Moran et al., 2022).
Meanwhile, employment pressure is also a common challenge faced by college students, who need to cope with issues such as future career planning and employment competition, while the uncertainty and pressure will also burden college students psychologically (Timimi, 2020). All aspects require college students to grow up quickly, which leads to many college students not adapting to college life quickly, and the pressure from all aspects comes, which can easily lead to mental health problems (Patabendige et al., 2020). This situation greatly challenges the state, society, and schools in mental health education (Clark et al., 2021).
In response to this situation, China has strengthened its efforts to provide psychological education to college students. For undergraduate and specialized students, mental health education has become a major part of university psychological education. However, China's current psychological education is still in its infancy. Compared with our country, psychological research in the West started early, developed relatively quickly, and is relatively high.
The SCL-90 scale is the most widely used measurement tool at present. It is designed to be more comprehensive, containing several mutually independent factors which can comprehensively understand the psychological condition of the respondents. The SCL-90 uses a simple and straightforward way, which is easy to be understood by the respondents (Daley et al., 2020). At this stage, most of the measurements of college students' mental health status in China are based on this scale.
In this paper, the SCL-90 scale is combined with the fuzzy comprehensive evaluation method to establish a model for predicting the mental health status of college students, which can more accurately predict the mental health status of students. The innovation of this method is to introduce advanced machine learning technology into the mental health field. By combining the complexity and flexibility of neural network models and the actual needs of the mental health field, this paper attempts to achieve more accurate and personalized mental health prediction. This interdisciplinary integration of research methods is expected to bring new ideas and methods for predictive analysis in the mental health field, and to provide more effective means for the maintenance and promotion of graduate students' mental health. Therefore, exploring the neural network-based predictive analysis of graduate students' mental health status is of great theoretical and practical significance.