Innovation of self-service system of college mental health in the age of big data

Abstract

College students must not only master the professional knowledge they have learned, but also learn to interact with others. Due to various pressures, the psychological burden of students is also increasing. The service to students’ mental health is imminent. In the era of big data, information is diversified, so it is necessary to mine the information suitable for students’characteristics from the massive information. In view of the above problems, in the era of big data, this paper proposes data mining technology and mental health self-service system in Colleges and universities to achieve innovative service effect. By applying K-means clustering algorithm to data mining, it is found that 58.6% of the students choose self-resolution or let it go naturally when they encounter psychological problems. This paper further gives suggestions on the object-oriented, content and technology of mental health self-service in order to realize the innovation of mental health self-service system in Universities in the era of big data and provide reference for mental health service.