Early Detection of College Students' Psychological Problems Based on Decision Tree Model

The paper starts with the research on the early discovery of college students' psychological problems. Besides, it analyzes the data of the general survey of college students' mental health in a certain university, the existing data of students with psychological problems, and the question...

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Published inFrontiers in psychology Vol. 13; p. 946998
Main Authors Huang, Yunpeng, Li, Shaoan, Lin, Bo, Ma, Shuai, Guo, Jian, Wang, Chunli
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 10.08.2022
Subjects
decision tree model
ID3 algorithm
Kendall correlation coefficient
psychological problems
Psychology
Python
SPSS
Online AccessGet full text
ISSN1664-1078
1664-1078
DOI10.3389/fpsyg.2022.946998

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Summary:The paper starts with the research on the early discovery of college students' psychological problems. Besides, it analyzes the data of the general survey of college students' mental health in a certain university, the existing data of students with psychological problems, and the questionnaire data of students' basic information in school. By comprehensively using the decision tree model and Kendall correlation analysis and other methods, using Python and SPSS software to preprocess the data and realize the model, it can obtain a psychological problem prediction model based on the objective behavior data of college students. The model is actually analyzed, and it gets good results.
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Reviewed by: Tian-Le Sun, Sichuan Agricultural University, China; Hao Xu, Nanjing University of Aeronautics and Astronautics, China
This article was submitted to Cognition, a section of the journal Frontiers in Psychology
Edited by: Xuesong Zhai, Zhejiang University, China
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2022.946998