Early-Warning Model of College Students' Psychological Problems Based On Data Mining Technology

For the current college education, teaching professional learning skills needs to be modified. The current education adheres to the concept of paying equal attention to students ideologically. However, students need to maintain a positive psychological state, sound personality, and stable mood. There is a four-level work network system of mental health education. Among them, psychological crisis intervention is the key to saving more lives with intervention. For psychological crisis intervention, it is important to accurately identify the crisis, timely receive early warning information, and timely take intervention measures. In this context, the design of the early warning model for college students' psychological problems was developed in this study based on data mining technology. The data mining process of college students' psychological problems was analyzed to develop a process of early warning model. Data of the quantification of students' behavior characteristics was collected for the model. The early warning rules were established in this study to support the decisions and management of psychological problems.