A machine learning-based prediction model for delayed clinically important postoperative nausea and vomiting in high-risk patients undergoing laparoscopic gastrointestinal surgery.

Journal: American journal of surgery
PMID: 39182286

Abstract

BACKGROUND: Delayed clinically important postoperative nausea and vomiting (CIPONV) could lead to significant consequences following surgery. We aimed to develop a prediction model for it using machine learning algorithms utilizing perioperative data from patients undergoing laparoscopic gastrointestinal surgery.

Authors

  • Zhinan Zheng
    Department of Anesthesia, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China. Electronic address: zhengzhn5@mail.sysu.edu.cn.
  • Yabin Huang
    Department of Anesthesia, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China. Electronic address: huangyb59@mail.sysu.edu.cn.
  • Yingyin Zhao
    Department of Anesthesia, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China. Electronic address: zhaoyy78@mail.sysu.edu.cn.
  • Jiankun Shi
    Department of Anesthesia, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China. Electronic address: shijk3@mail2.sysu.edu.cn.
  • Shimin Zhang
    Department of Anesthesia, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, 510655, China. Electronic address: zhangshm57@mail2.sysu.edu.cn.
  • Yang Zhao
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.

Keywords

External Resources

Popular Topics
Recent Journals