Research of Early Warning Data of Mental Health of University Students Empowered by Digital Intelligence

Abstract

University students mental health problems are increasingly severe. Although government departments and university educators have paid more and more attention to mental health work, there are still some problems. The main channel to collect mental health information is static. Life information with reference value is fragmented. The direct managers lack professionalism. The traditional way can no longer meet the needs. In the era of big data, it is necessary to reconstruct the university mental health database, build early warning models and platforms, and combine all resources to help students with the help of digital intelligence technologies, so as to actively intervene in the process, strengthen supervision from the mechanism, effectively evaluate the effect.