Intraoperative circulation predict prolonged length of stay after head and neck free flap reconstruction: a retrospective study based on machine learning
Machine learning algorithms facilitated quantification of intraoperative circulation data. The developed real-time quantified intraoperative circulation prediction models based on this quantification offer a potential strategy to optimize intraoperative circulation management and mitigate PLOS following head and neck free flap reconstruction.
Authors
- Mingyan Guo (ORCID: https://orcid.org/0000-0003-1353-1487)
- Zhongqi Liu (ORCID: https://orcid.org/0000-0002-5731-8832)
- Bin Zhou (ORCID: https://orcid.org/0000-0002-0824-964X)
- Minghui Cao (ORCID: https://orcid.org/0000-0002-2321-3450)
- Yingzhen Chen (ORCID: https://orcid.org/0000-0002-0770-2852)
- Jinbei Wen
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-01-10
- DOI
- https://doi.org/10.3389/fonc.2024.1473447
- Citations
- 1
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.39