Machine learning for prediction of postoperative nausea and vomiting in patients with intravenous patient-controlled analgesia

HIGHLIGHTS

• who: Jae-Geum Shim et al. from the University, Seoul, Korea, Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital have published the article: Machine learning for prediction of postoperative nausea and vomiting in patients with intravenous patient-controlled analgesia, in the Journal: PLOS ONE of June/28,/2022
• what: The aim of this study was to develop a machine_learning model to predict PONV up to 24 h with fentanyl-based intravenous patient-controlled analgesia (IV-PCA).
• how: The authors developed and validated machine_learning models for predicting PONV in the first 24 h . . .
  

   

  

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