Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting
Our study suggests that the GNB model achieved superior performance compared to others in predicting preoperative IABP implantation in patients undergoing CABG surgery. This may contribute to risk-prediction and decision-making in clinical practice.
Authors
- Yang Pan (ORCID: https://orcid.org/0000-0002-1994-6029)
- Zhiping Bian
- Hengfang Wu
- Xiangjian Chen (ORCID: https://orcid.org/0000-0002-8205-9262)
- Qian Zhang (ORCID: https://orcid.org/0000-0002-7262-9428)
- Changqing Yang (ORCID: https://orcid.org/0000-0002-0511-2875)
- Peng Zheng (ORCID: https://orcid.org/0000-0002-1571-0377)
- Luo L
- Sheng Zhao
Institutions
- Soochow University (CN)
- Nanjing Brain Hospital (CN)
- Yancheng Third People's Hospital (CN)
- Yancheng Teachers University (CN)
- First Affiliated Hospital of Soochow University (CN)
- Yancheng Institute of Technology (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Cardiothoracic Surgery
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1186/s13019-025-03571-y
- Primary Topic
- Mechanical Circulatory Support Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nanjing Medical University