Feasibility of a Machine Learning Classifier for Predicting Post-Induction Hypotension in Non-Cardiac Surgery
ML classifiers exhibited moderate performance in predicting PIH, and have the potential for real-time prediction.
Authors
- Bon‐Wook Koo (ORCID: https://orcid.org/0000-0002-3590-5542)
- Jae Hyon Park (ORCID: https://orcid.org/0000-0002-7626-194X)
- Ah‐Young Oh (ORCID: https://orcid.org/0000-0002-3659-6171)
- Chang‐Hoon Koo (ORCID: https://orcid.org/0000-0001-8567-5514)
- Young Hyun Koo (ORCID: https://orcid.org/0009-0008-7893-4459)
- Jin‐Hee Kim (ORCID: https://orcid.org/0009-0003-2865-5770)
- Insun Park (ORCID: https://orcid.org/0000-0002-6413-752X)
Institutions
- Yonsei University (KR)
- Severance Hospital (KR)
- New Generation University College (ET)
- Seoul National University Bundang Hospital (KR)
- Armed Forces Capital Hospital (KR)
Publication Details
- Journal
- Yonsei Medical Journal
- Published
- 2024-09-13
- DOI
- https://doi.org/10.3349/ymj.2024.0020
- Citations
- 4
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 2.29