Predicting the risk of postoperative gastrointestinal bleeding in patients with Type A aortic dissection based on an interpretable machine learning model
The machine learning-based predictive model effectively assesses postoperative GIB risk in TAAD patients, aiding healthcare providers in early identification of risk factors and implementation of targeted preventive strategies.
Authors
- Wei Guo (ORCID: https://orcid.org/0000-0003-1189-5682)
- Wenxian Wu (ORCID: https://orcid.org/0000-0003-4059-5945)
- Xing Yang
- Huanhuan Li (ORCID: https://orcid.org/0000-0001-5260-6993)
- Linfeng Li (ORCID: https://orcid.org/0000-0002-8736-6464)
- Xueyan Wang (ORCID: https://orcid.org/0000-0002-8653-4104)
- Meixia Guo (ORCID: https://orcid.org/0000-0002-5738-838X)
- Shaomin Che
Institutions
- Shanxi Medical University (CN)
- Shanxi Academy of Medical Sciences (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-05-19
- DOI
- https://doi.org/10.3389/fmed.2025.1554579
- Citations
- 3
- Primary Topic
- Aortic Disease and Treatment Approaches
- Type
- article
- Field-Weighted Citation Impact
- 4.56