Early warning analysis of mental health based on spatial density and rapid clustering

被引：0
|
作者：
Gao, Jiahui [1 ]
Shi, Guopu [1 ]
机构：
[1] Univ Jinan, Jinan 250022, Shandong, Peoples R China
来源：
2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021) | 2021年
关键词：
Mental health; Spatial density rapid clustering; Early warning;
D O I：
10.1109/ICMTMA52658.2021.00110
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Psychological crisis has become an important problem affecting college students' mental health. In order to improve the accuracy of college students' mental health early warning method, this paper proposes a mental health early warning analysis method based on spatial density and fast clustering. The experimental results show that this method can effectively carry out mental health early warning with high accuracy and stability.
引用
收藏
页码：480 / 483
页数：4
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