Digital technologies in mental health services for adolescents Under the COVID-19 Pandemic
- DOI
- 10.2991/978-94-6463-040-4_71How to use a DOI?
- Keywords
- Digital Health; Artificial Intelligence; Data Mining Algorithm; Mental Health; Adolescents
- Abstract
In response to the COVID-19 outbreak, the international community has adopted a series of policies to encourage social distancing, which has increased their risk of developing psychological problems. The traditional psychological counseling model is difficult to play its due role under the quarantine measures of the epidemic, so mental health services based on digital technology have become an option. This study introduces the current situation of mental health of children and adolescents and systematically reviews the application of digital technologies such as network information technology, data analysis, and artificial intelligence in mental health services.The mechanism of applying artificial intelligence technology to students' mental health monitoring and the intelligent evaluation model of students' mental health based on data algorithm are introduced.A technical application model of child and adolescent mental health service is formed, and some suggestions for the digital development of child and adolescent mental health service are put forward.
- Copyright
- © 2023 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
TY - CONF AU - Lechun Xiao AU - Ting Wang PY - 2022 DA - 2022/12/27 TI - Digital technologies in mental health services for adolescents Under the COVID-19 Pandemic BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 467 EP - 474 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_71 DO - 10.2991/978-94-6463-040-4_71 ID - Xiao2022 ER -