Predicting postoperative nausea and vomiting using machine learning: a model development and validation study
The machine learning-based models developed in this study enabled improved PONV prediction, thereby facilitating personalized care and improved patient outcomes.
Authors
- Maksim Katsin
- Teddy Lazebnik (ORCID: https://orcid.org/0000-0002-7851-8147)
- Svetlana Bunimovich‐Mendrazitsky (ORCID: https://orcid.org/0000-0001-5280-3217)
- Haim Berkenstadt (ORCID: https://orcid.org/0000-0001-8515-5818)
- Maxim Glebov (ORCID: https://orcid.org/0009-0000-7782-6343)
- Boris Orkin
Institutions
- Holon Institute of Technology (IL)
- Tel Aviv University (IL)
- Sheba Medical Center (IL)
- University College London (GB)
- Ariel University (IL)
Publication Details
- Journal
- BMC Anesthesiology
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1186/s12871-025-02987-2
- Citations
- 9
- Primary Topic
- Nausea and vomiting management
- Type
- article
- Field-Weighted Citation Impact
- 18.06