Big data Analysis on The Management Content of College Students' Mental Health Education

被引:0
作者
Xie, Wenyan [1 ]
机构
[1] Sichuan Vocat & Tech Coll, Suining 629000, Peoples R China
来源
2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021) | 2021年
关键词
college student; big data; mental health; decision tree; data mining;
D O I
10.1109/ICMTMA52658.2021.00152
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To solve the problems of big data demand and data awareness low, data storage demand and storage technology backward in health education in Colleges and universities, this paper integrates modern information technology into the field of mental health education of college students. Based on the detailed analysis and comparison of various classification algorithms, combined with the characteristics of psychological problem data, C4.5 decision tree algorithm is selected to construct a decision tree model for the psychological problem of symptoms, and uses it to predict the psychological problems of college students. Then the structure model of negative psychology is established by decision tree, and the potential groups with anxiety and depression are found by using clustering technology. The cause analysis based on actual data can provide reliable basis for psychological educators, to improve the efficiency and effectiveness of school psychological consultation.
引用
收藏
页码:662 / 665
页数:4
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