Development of a Big Data Analysis and Management Decision Support System for Student Mental Health in Higher Education

[1] Campbell, F., Blank, L., Cantrell, A., Baxter, S., Blackmore, C., Dixon, J., & Goyder, E. (2022). Factors that influence mental health of university and college students in the UK: a systematic review. BMC Public Health, 22(1), 1778. Search in Google Scholar

[2] Griggs, S. (2017). Hope and mental health in young adult college students: An integrative review. Journal of psychosocial nursing and mental health services, 55(2), 28-35. Search in Google Scholar

[3] Wang, X., Hegde, S., Son, C., Keller, B., Smith, A., & Sasangohar, F. (2020). Investigating mental health of US college students during the COVID-19 pandemic: Cross-sectional survey study. Journal of medical Internet research, 22(9), e22817. Search in Google Scholar

[4] Melcher, J., Hays, R., & Torous, J. (2020). Digital phenotying for mental health of college students: a clinical review. BMJ Ment Health, 23(4), 161-166. Search in Google Scholar

[5] Cuijpers, P., Auerbach, R. P., Benjet, C., Bruffaerts, R., Ebert, D., Karyotaki, E., & Kessler, R. C. (2019). The world health organization world mental health international college student initiative: an overview. International Journal of Methods in Psychiatric Research, 28(2), e1761. Search in Google Scholar

[6] Buizza, C., Bazzoli, L., & Ghilardi, A. (2022). Changes in college students mental health and lifestyle during the COVID-19 pandemic: a systematic review of longitudinal studies. Adolescent research review, 7(4), 537-550. Search in Google Scholar

[7] Garcia-Ceja, E., Riegler, M., Nordgreen, T., Jakobsen, P., Oedegaard, K. J., & Trresen, J. (2018). Mental health monitoring with multimodal sensing and machine learning: A survey.Pervasive and Mobile Computing,51, 1-26. Search in Google Scholar

[8] Haddad, J. M., Macenski, C., Mosier-Mills, A., Hibara, A., Kester, K., Schneider, M., ... & Liu, C. H. (2021). The impact of social media on college mental health during the COVID-19 pandemic: a multinational review of the existing literature. Current psychiatry reports, 23, 1-12. Search in Google Scholar

[9] D’Alfonso, S. (2020). AI in mental health. Current opinion in psychology, 36, 112-117. Search in Google Scholar

[10] Liang, Y., Zheng, X., & Zeng, D. D. (2019). A survey on big data-driven digital phenotyping of mental health. Information Fusion, 52, 290-307. Search in Google Scholar

[11] Khan, Z. F., & Alotaibi, S. R. (2020). Applications of artificial intelligence and big data analytics in m‐ health: A healthcare system perspective. Journal of healthcare engineering, 2020(1), 8894694. Search in Google Scholar

[12] Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Kim, H. C., & Jeste, D. V. (2019). Artificial intelligence for mental health and mental illnesses: an overview. Current psychiatry reports, 21, 1-18. Search in Google Scholar

[13] Su, C., Xu, Z., Pathak, J., & Wang, F. (2020). Deep learning in mental health outcome research: a scoping review. Translational Psychiatry, 10(1), 116. Search in Google Scholar

[14] Le Glaz, A., Haralambous, Y., Kim-Dufor, D. H., Lenca, P., Billot, R., Ryan, T. C., ... & Lemey, C. (2021). Machine learning and natural language processing in mental health: systematic review. Journal of medical Internet research, 23(5), e15708. Search in Google Scholar

[15] Thieme, A., Belgrave, D., & Doherty, G. (2020). Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems. ACM Transactions on Computer-Human Interaction (TOCHI), 27(5), 1-53. Search in Google Scholar

[16] Shatte, A. B., Hutchinson, D. M., & Teague, S. J. (2019). Machine learning in mental health: a scoping review of methods and applications. Psychological medicine, 49(9), 1426-1448. Search in Google Scholar

[17] Chung, J., & Teo, J. (2022). Mental health prediction using machine learning: taxonomy, applications, and challenges. Applied Computational Intelligence and Soft Computing, 2022(1), 9970363. Search in Google Scholar

[18] Lattie, E. G., Lipson, S. K., & Eisenberg, D. (2019). Technology and college student mental health: challenges and opportunities. Frontiers in psychiatry, 10, 439296. Search in Google Scholar

[19] Zhang Meizhen.(2020).Student Psychological Management System Based on FPGA Embedded System and Data Mining.Microprocessors and Microsystems(prepublish),103786-. Search in Google Scholar

[20] [Anh Dao,Samantha Pegg,Sydney Okland,Haley Green & Autumn Kujawa.(2024).Longitudinal associations between sense of belonging, imposter syndrome, and first-year college students’ mental health..Journal of American college health: J of ACH11-10. Search in Google Scholar

[21] Li Mao & Li Fanfan.(2023).Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events..PeerJ. Computer sciencee1586-e1586. Search in Google Scholar

[22] Laiwei Jiang,Zheng Chen,Hongyu Yang & Zhenyu Na.(2024).Distributed multi-hop clustering algorithm for aeronautical ad-hoc network.Ad Hoc Networks103547-. Search in Google Scholar