Construction and application of intelligent mental health management system for prisoners

DOI

10.2991/978-2-38476-158-6_34How to use a DOI?

Keywords

Prisoners; mental health; Health management; Risk assessment; Personalized health promotion

Abstract

As a special group, prisoners' mental health problems endanger the safety of supervision and social security. The traditional psychological assessment scale for prisoners has a large number of topics and a complicated assessment process, which makes it difficult to quickly obtain and quantify psychological risks, and also lacks follow-up health promotion intervention. It is a practical and efficient method to carry out early risk assessment and early warning management on the psychological symptoms of prisoners by means of information technology. The intelligent health management system constructed in this study conforms to the development direction of intelligent medical treatment, and can make the mental health management of prisoners more objective, scientific and accurate. The system mainly uses the prediction model of integrated learning algorithm to evaluate the mental state of prisoners, and constructs a relevant knowledge base for personalized health management guidance. The system evaluation results show that the accuracy of the risk assessment model has reached 0.974, and the personalized health promotion function is also feasible. Therefore, the intelligent health management system can effectively assist the existing psychological assessment and correction work, find out the potential psychological abnormalities of criminals in time, intervene and correct in advance, so as to maintain the normal supervision and reform work, and ensure the safety of supervision and social stability.

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.

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TY  - CONF
AU  - Zhifei Xu
AU  - Jiagang Dong
AU  - Yichao Zhang
PY  - 2023
DA  - 2023/12/18
TI  - Construction and application of intelligent mental health management system for prisoners
BT  - Proceedings of the 2023 International Conference on Applied Psychology and Modern Education (ICAPME 2023)
PB  - Atlantis Press
SP  - 256
EP  - 265
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-158-6_34
DO  - 10.2991/978-2-38476-158-6_34
ID  - Xu2023
ER  -