Intelligent Knowledge Service System Based on Depression Monitoring of College Students

Authors

  • Huina Yu Zhejiang Chinese Medical University
  • Guihong Zhang Zhejiang Chinese Medical University
  • Jiali Liu Zhejiang Chinese Medical University
  • Kai Li Zhejiang Chinese Medical University

DOI:

https://doi.org/10.3991/ijet.v14i12.10702

Keywords:

depression monitoring, intelligent knowledge service system

Abstract


The number of college students suffering from depression has increased in recent years. In order to help the college student administration departments understand students' psychological state of depression better and keep college students mentally healthy through mental health services, this paper studies an intelligent monitoring system for depression. Different from previous researches, this study, based on the cloud services platform, incorporates three indicators closely related to depression-sleeping, exercise and heart rate-into the monitoring database subsystem and establishes a relatively macroscopic intelligent knowledge service system for depression monitoring of college students. It uses the Mobile Material Link Device (MMLD) to collect data and information to monitor and analyze the changes in the depression status of college students dynamically, which also provides timely warnings and a chain of personalized intelligent knowledge services based on individuals’ depression status.

Author Biographies

Huina Yu, Zhejiang Chinese Medical University

Huina Yu, Master, undergraduate of Zhejiang Normal University. Second level psychological consultant of China. Psychological consultation teacher of student mental health center at Zhejiang Chinese Medical University. Working in the College of Humanities and Management, Zhejiang Chinese Medical University. Research Direction: health big data management; college student management; mental health measurement and Mental health education for college students.

Guihong Zhang, Zhejiang Chinese Medical University

Guihong Zhang, undergraduate of Zhejiang Chinese Medical University, had won full scholarship and Zhejiang provincial government scholarship. Big data analyst of Chinese Medicine Intelligent Diagnosis and Big Data Analysis Joint Laboratory. Research Direction: Health management.

Jiali Liu, Zhejiang Chinese Medical University

Jiali Liu, Master of Chinese Medicine, undergraduate of Zhejiang Chinese Medical University, have won full academic scholarship. Deputy director of Chinese Medicine Intelligent Diagnosis and Big Data Analysis Joint Laboratory office. Research Direction: health big data management; management of traditional Chinese medicine and health care.

Kai Li, Zhejiang Chinese Medical University

Kai Li, Ph.D., associate professor, master supervisor, Zhijiang scholars, postdoctoral research at Fudan University School of Public Health. Director of Chinese medicine big data and wisdom health research center. Director of Chinese Medicine Intelligent Diagnosis and Big Data Analysis Joint Laboratory, deputy director of school health management institute. Now working in the College of Medical Technology, Zhejiang Chinese Medical University, Research Direction: MIS; public health management; health big data management; medicine wisdom; knowledge management systems Main Academic: ACM, IEEE Chinese member; China Computer Federation CCF Digital "Technology News" editorial board; Member of smart city committee of China e-commerce association; Associate editor of “Wisdom health”.

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Published

2019-06-27

How to Cite

Yu, H., Zhang, G., Liu, J., & Li, K. (2019). Intelligent Knowledge Service System Based on Depression Monitoring of College Students. International Journal of Emerging Technologies in Learning (iJET), 14(12), pp. 71–84. https://doi.org/10.3991/ijet.v14i12.10702

Issue

Vol. 14 No. 12 (2019)

Section

Papers

License

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