Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management
This study provides a valuable tool for personalized preoperative risk assessment and customized anesthesia management, allowing for early intervention and improved patient outcomes. Integration of machine learning models into electronic medical record systems can facilitate real-time risk assessment and prediction.
Authors
- Dingyu Zhang (ORCID: https://orcid.org/0000-0002-9277-5705)
- Ming Chen (ORCID: https://orcid.org/0000-0002-2188-5472)
Institutions
- Union Hospital (HK)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1186/s12911-025-02930-y
- Citations
- 8
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 11.11