Application and Evaluation of Algorithms and Deep Learning in Adolescent Mental Health Intervention

Yue Zuo, Zhengkui Liu

2025

Abstract

Adolescent mental health intervention refers to targeted mental health education and behavior modification for adolescents based on scientific psychological theories and techniques, with the aim of reducing the incidence and probability of mental illness in adolescents, reducing their socio-economic burden, and promoting their healthy growth. At present, there are some problems in the mental health intervention of adolescents in China. First, the methods and means of mental health education for adolescents lack scientificity, effectiveness and pertinence, and cannot effectively solve the psychological problems of adolescents. Second, there is a lack of understanding of the needs of adolescent mental health interventions, and the lack of necessary psychological intervention techniques and implementation processes. Third, there are problems in the use of existing psychological intervention techniques, such as unclear effect evaluation methods, unclear technical paths, and non-standardized operation processes, which affect the popularization and application of the intervention methods to a certain extent. As one of the core technologies of artificial intelligence (AI), algorithm and deep learning refers to the use of large amounts of data for learning, which can realize automatic analysis and recognition of data. Its application scenarios include autonomous driving, medical imaging diagnosis, machine translation and other fields. Artificial intelligence technology has great potential in adolescent mental health intervention, and on the basis of outlining the application and evaluation of existing adolescent mental health interventions, this paper reviews the application and evaluation of algorithms and deep learning in adolescent mental health interventions, aiming to provide new ideas for further adolescent mental health interventions.

Paper Citation

in Harvard Style

Zuo Y. and Liu Z. (2025). Application and Evaluation of Algorithms and Deep Learning in Adolescent Mental Health Intervention. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 478-484. DOI: 10.5220/0013546100004664

in Bibtex Style

@conference{incoft25,
author={Yue Zuo and Zhengkui Liu},
title={Application and Evaluation of Algorithms and Deep Learning in Adolescent Mental Health Intervention},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={478-484},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013546100004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Application and Evaluation of Algorithms and Deep Learning in Adolescent Mental Health Intervention
SN - 978-989-758-763-4
AU - Zuo Y.
AU - Liu Z.
PY - 2025
SP - 478
EP - 484
DO - 10.5220/0013546100004664
PB - SciTePress