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

Jie Zhao, Jiexia Zheng


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.


Big data; Empowerment; University students; Mental health; Early warning model

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[1] Eduard Maron, etc al. Manifesto for an international digital mental health network. Digital Psychiatry, 2019, 2(01)

[2] Shilko, S. Egorov, Y. Zinchenko. Digitalization of education and mental health. European Psychiatry, 2021, 937

[3] Jingyi Lin, et al. Modeling and analysis of mental health early warning based on social data mining(in Chinese). Electronic Technology & Software Engineering, 2020, (08):172-173

[4] Ronglong Gu, etc. al. Data Mining Technology and Application in Big Data Era (in Chinese). Technology Innovation and Application, 2022,12(05),176-178

[5] Wanzhi Chen, Yuxuan Zhao. Data mining method for implicit user behavior in smart campus. Journal of Liaoning Technical University (Natural Science), 2020,39(05):434-439

DOI: http://dx.doi.org/10.18686/ahe.v7i35.12502