An Artificial Intelligence-Based Detection of Comorbid Depression, Anxiety, and Substance Use Disorder in Korean Counseling Dialogues Using an Explainable Hierarchical Attention Network with Shapley Additive Explanations
- DOI
- 10.3390/diagnostics16121817
- Published
- 2026-06-12
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16121817,
title = {An Artificial Intelligence-Based Detection of Comorbid Depression, Anxiety, and Substance Use Disorder in Korean Counseling Dialogues Using an Explainable Hierarchical Attention Network with Shapley Additive Explanations},
author = {MoonHyeok Choi and JaeHyun Jo and JinHyoung Jeong},
year = {2026},
journal = {Diagnostics},
doi = {10.3390/diagnostics16121817},
url = {https://doi.org/10.3390/diagnostics16121817}
}RIS
TY - JOUR TI - An Artificial Intelligence-Based Detection of Comorbid Depression, Anxiety, and Substance Use Disorder in Korean Counseling Dialogues Using an Explainable Hierarchical Attention Network with Shapley Additive Explanations AU - MoonHyeok Choi AU - JaeHyun Jo AU - JinHyoung Jeong PY - 2026 JO - Diagnostics DO - 10.3390/diagnostics16121817 UR - https://doi.org/10.3390/diagnostics16121817 ER -
APA
Choi, M., Jo, J., & Jeong, J. (2026). An Artificial Intelligence-Based Detection of Comorbid Depression, Anxiety, and Substance Use Disorder in Korean Counseling Dialogues Using an Explainable Hierarchical Attention Network with Shapley Additive Explanations. Diagnostics. https://doi.org/10.3390/diagnostics16121817
Source records
- crossref · retrieved 2026-09-27T02:13:28.303Z