Deep Learning for Emergency Department Sustainability: Interpretable Prediction of Revisit
An interpretable CNN-based clinical decision support system can predict ED revisit risk from multimodal EHR data and demonstrates practical usability in a real-world clinical setting, supporting targeted discharge planning and follow-up as a near-term approach to mitigate overcrowding.
Authors
- Zheng-Xun Cai (ORCID: https://orcid.org/0000-0002-2978-9020)
- Chia-Mei Chen (ORCID: https://orcid.org/0000-0002-4361-0461)
- Wang-Chuan Juang
- Zhi-Hong You
Institutions
- National Sun Yat-sen University (TW)
- Kaohsiung Veterans General Hospital (TW)
- Fooyin University (TW)
Publication Details
- Journal
- Healthcare
- Published
- 2026-02-12
- DOI
- https://doi.org/10.3390/healthcare14040464
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00