Design of Data Mining and Evaluation System for College Students' Mental Health

To deeply understand the main factors affecting college students' mental health and the relationship between psychological symptoms, this paper uses SQL Sever 2015 and Visual Basic 8.0 programming to design and implement a data mining system platform for students' psychological problems. Then the Apriori association rules mining is applied to college students' mental health evaluation data. In the practical application, a complete set of processing scheme for psychological evaluation data is proposed, including data integration, extraction, cleaning, conversion and a series of data preprocessing operations. Finally, the specific application of data mining of college students' psychological evaluation is realized, and the model lists the relationship between multiple attributes and three-dimensional psychological symptoms of college students, which also provides a reference for colleges and universities to take targeted psychological education.