Predicting postoperative nausea and vomiting using machine learning: a model development and validation study.

Journal: BMC anesthesiology
PMID: 40114048

Abstract

BACKGROUND: Postoperative nausea and vomiting (PONV) is a frequently observed complication in patients undergoing surgery under general anesthesia. Moreover, it is a frequent cause of distress and dissatisfaction in the early postoperative period. Currently, the classical scores used for predicting PONV have not yielded satisfactory results. Therefore, prognostic models for the prediction of early and delayed PONV were developed in this study to achieve satisfactory predictive performance.

Authors

  • Maxim Glebov
    Department of Anesthesiology, Sheba Medical Center, Derech Sheba 2, Ramat Gan, 52621, Israel. hlebau@gmail.com.
  • Teddy Lazebnik
    Department of Mathematics, Ariel University, Ariel, Israel.
  • Maksim Katsin
    Department of Anesthesiology, Sheba Medical Center, Derech Sheba 2, Ramat Gan, 52621, Israel.
  • Boris Orkin
    Digital Medicine and Technology, Holon Institute of Technology, Holon, Israel.
  • Haim Berkenstadt
    Department of Anesthesiology, The Chaim Sheba Medical Center, Ramat Gan, Israel.
  • Svetlana Bunimovich-Mendrazitsky
    Department of Mathematics, Ariel University, Ariel, Israel.

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