Intelligent Knowledge Service System Based on Depression Monitoring of College Students

Huina Yu, Guihong Zhang, Jiali Liu, Kai Li

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.

Keywords


depression monitoring; intelligent knowledge service system

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Copyright (c) 2019 Huina Yu, Guihong Zhang, Jiali Liu, Kai Li


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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