A Novel Recognition Model of University Students’ Psychological Crisis Based on DM

Abstract

The research on identifying college students’ psychological crises can assist college administrators in better understanding of students’ psychological changes and planning of intervention measures ahead of time to ensure college students’ mental health. When confronted with unexpected events or major setbacks and difficulties, people experience psychological crises, which they can neither avoid nor solve using their own resources and stress methods. This paper proposes a method of college students’ psychological crisis identification based on data mining technology to solve the problems that exist in the process of identifying psychological crises in college students and to improve the correct rate of identifying psychological crises in college students. In comparison to other technologies, data mining can uncover the link between students’ psychological problems and their basic information, as well as the main causes of psychological problems, using statistical data.

Applications of Artificial Intelligence to Popularize Legal Knowledge and Publicize the Impact on Adolescents' Mental Health Status

“…This approach minimizes manual interaction and quantifies the outcomes of psychological screening amongst young adults. Cai ( 17 ) research presents a data mining-based approach to determining mental disasters in young adults to increase the accuracy of detecting mental disasters in young adults. A mental disorder recognition model based on CNN is developed in this research.…”