Research on Student Mental Health Problems Based on Machine Learning Method

Jiawen Luo

2023

Abstract

Students suffer from mental health problems have less adaptability and efficiency, often show some unusual behaviors. It is important to find these problems early and eliminate them in time. Machine learning techniques can be fully used to predict mental health problems. Such applications could identify those students who have potential mental health problems from the results of student questionnaires. Three methods are proposed to handle student mental health problems. Their performances are compared to identify the best model and hyper-parameters. The data set includes the academic situation and mental health conditions of 101 university students. There are 11 attributes in the data set. Two new attributes “Total Mental Health Issue” and “CGPA Midpoint” are created in the research to better analysis the relation between academic performances and mental health conditions. Random Forest has the best performance with n_estimators is 100 and max_depth is 6. The research shows the feasibility of predicting students’ mental health problems with machine learning techniques. This technology has a broad prospect and is beneficial to the whole society.

Paper Citation

in Harvard Style

Luo J. (2023). Research on Student Mental Health Problems Based on Machine Learning Method. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 285-290. DOI: 10.5220/0012801400003885

in Bibtex Style

@conference{daml23,
author={Jiawen Luo},
title={Research on Student Mental Health Problems Based on Machine Learning Method},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={285-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012801400003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - Research on Student Mental Health Problems Based on Machine Learning Method
SN - 978-989-758-705-4
AU - Luo J.
PY - 2023
SP - 285
EP - 290
DO - 10.5220/0012801400003885
PB - SciTePress