Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)

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Research for Mental Health Classifier Based on Machine Learning

Authors
Bohan Gao1, *
1School of Information Science and Technology, Northwest University, Xi’an, Shaanxi, 710127, China
*Corresponding author. Email: 2022110085@stumail.nwu.edu.cn
Corresponding Author
Bohan Gao
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-823-3_60How to use a DOI?
Keywords
Machine Learning; Mental health; Classifier
Abstract

Mental health is a vital foundation for personal well-being and social stability. The COVID-19 pandemic has significantly exacerbated global mental health issues. In the post-pandemic era, it has become one of the most pressing public health challenges. Meanwhile, breakthroughs in artificial intelligence have provided new technical means for mental health testing. This study collected a data set of associations between personal statements and psychological states to deeply explore the semantic features and emotional tendencies of personal statements, and applied machine learning technology to develop an intelligent classification system that can accurately identify seven psychological states (normal state, depression, suicidal tendencies, anxiety, stress, bipolar disorder and personality disorder). By comparing the performance of the three mainstream algorithms of logistic regression, random forest, and XGBoost, the study found that the XGBoost model was significantly better than the other models in all indicators. This research result not only provides a new technical solution for the detection of mental health, but also promotes the innovative application and development of artificial intelligence technology in the field of mental health, which has important academic value and practical significance.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
Series
Advances in Computer Science Research
Publication Date
31 August 2025
ISBN
978-94-6463-823-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-823-3_60How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bohan Gao
PY  - 2025
DA  - 2025/08/31
TI  - Research for Mental Health Classifier Based on Machine Learning
BT  - Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
PB  - Atlantis Press
SP  - 603
EP  - 611
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-823-3_60
DO  - 10.2991/978-94-6463-823-3_60
ID  - Gao2025
ER  -