Advancing Emergency Department Triage Prediction With Machine Learning to Optimize Triage for Abdominal Pain Surgery Patients
Machine learning models have demonstrated superior performance in predicting emergency abdominal pain surgery compared to traditional models. Modern machine learning improves clinical triage decisions and ensures that critically needy patients receive priority for emergency resources and timely, effective treatment.
Authors
- Chen Chai (ORCID: https://orcid.org/0000-0002-6009-3427)
- Shu-zhen Peng
- Chengwei Li (ORCID: https://orcid.org/0000-0002-5883-4812)
- Rui Zhang (ORCID: https://orcid.org/0000-0002-2559-6686)
- Yan Zhao (ORCID: https://orcid.org/0000-0001-9281-6725)
Institutions
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
- Xiaomi (China) (CN)
Publication Details
- Journal
- Surgical Innovation
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1177/15533506241273449
- Citations
- 7
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.84
Funders
- Zhongnan Hospital of Wuhan University