The Application of Data Mining in the Prevention of Psychological Crises Among University Students

Currently, the mental health problems of students in colleges and universities are becoming increasingly serious, which poses a great challenge to the traditional crisis intervention methods. Data Mining is a new approach to deeply dissect multidimensional student profiles. This thesis explores the mental health problems of students in colleges and universities from three perspectives: risk identification, individual intervention, and cross-border collaboration. The research of this topic can provide theoretical support for building an intelligent and systematic mental health management system.