Design of Crisis Counseling Risk Assessment System Based on College Students’ Mental Health

DOI

10.2991/978-94-6463-012-1_52How to use a DOI?

Keywords

System Design; Risk Assessment; Risk Value Quantification

Abstract

At present, the field of education began to focus on students’ mental health problems. In order to understand and analyze students’ mental health status and obtain clear data analysis results, it is necessary to use students’ mental health crisis counseling risk assessment system. However, in order to obtain more valuable evaluation results, it is necessary for colleges and universities to optimize the risk evaluation system of students’ mental health crisis counseling, and optimize the main control chip and system circuit in terms of hardware. In addition, we should also build a psychological counseling risk calculation model to quantify the value of risk. After completing the design of the student mental health crisis counseling risk assessment system, the system is tested. It can be found that the accuracy and detection time of the system evaluation and registration are very ideal. Therefore, it can also be seen that the optimized student mental health crisis counseling risk assessment system is better than that before optimization.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yawen Meng
AU  - Wei Tu
AU  - Guolan Liu
PY  - 2022
DA  - 2022/12/09
TI  - Design of Crisis Counseling Risk Assessment System Based on College Students’ Mental Health
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 468
EP  - 474
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_52
DO  - 10.2991/978-94-6463-012-1_52
ID  - Meng2022
ER  -