Psychological Health Risk Prediction for Medical Interns Based on Multi-scale Deep Learning

DOI

10.2991/978-94-6463-803-5_68How to use a DOI?

Keywords

Deep Learning; Medical Interns; Mental Health

Abstract

Deep learning has become a key methodology in mental health development, especially for medical interns facing intense pressures. Early identification and individualized interventions are essential for addressing their mental health concerns. This paper presents a context-aware multi-scale deep learning framework for continuous psychological state modeling and risk prediction of medical interns, providing both theoretical and technical support for mental health management in medical education. The model combines a dynamic multi-scale convolutional feature extractor, a hierarchical recurrent neural network, and a context-aware meta-learning module, which collectively track interns’ psychological changes over time. By bridging theory and practical exploration, the paper introduces an innovative approach to predicting mental health risks and contributing to intelligent interventions in medical education. The results show that the proposed model enhances psychological self-regulation in interns, strengthens the ability of educational management to monitor mental health dynamics, and transitions mental health services from a “passive response” to an “active warning” model, thus supporting the development of a student-centered psychological support system.

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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TY  - CONF
AU  - Junqing Lin
PY  - 2025
DA  - 2025/07/31
TI  - Psychological Health Risk Prediction for Medical Interns Based on Multi-scale Deep Learning
BT  - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
PB  - Atlantis Press
SP  - 703
EP  - 711
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-803-5_68
DO  - 10.2991/978-94-6463-803-5_68
ID  - Lin2025
ER  -