Application of Data Analysis in Mental Health Education for College Students

Ying Liu

Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part I

Research Article

Application of Data Analysis in Mental Health Education for College Students

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-87900-6_2,
    author={Ying Liu},
    title={Application of Data Analysis in Mental Health Education for College Students},
    proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part I},
    proceedings_a={BIGIOT-EDU},
    year={2021},
    month={10},
    keywords={Data mining Decision tree ID3 Mental health education},
    doi={10.1007/978-3-030-87900-6_2}
}

Ying Liu
Year: 2021
Application of Data Analysis in Mental Health Education for College Students
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-030-87900-6_2

Ying Liu¹

1: Liaoning Jian Zhu Vocational College

Abstract

ID3 algorithm is used to construct decision tree to predict the mental health status of college freshmen, so as to provide decision support for college students’ mental health education. This paper introduces the main content of ID3 algorithm, discusses the data preprocessing, tree building algorithm, using decision tree to predict Freshmen mental health, and the application integration method of decision tree in MIS. The experimental results show that this method has a certain practical value in the construction of preventive mental health education mode for college students.

Keywords: Data mining Decision tree ID3 Mental health education

Published: 2021-10-18
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-87900-6_2