An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy.

Journal: The Journal of international medical research
Published Date:

Abstract

OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artificial neural network (ANN) model for prediction of hypoxemia during sedation for gastrointestinal endoscopy examination.

Authors

  • Wujun Geng
    1 Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Hongli Tang
    1 Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Apurb Sharma
    2 Department of Anesthesia, Pain Management and Critical Care, Nepal Mediciti Hospital, Karyabinayak, Nepal.
  • Yizhou Zhao
    3 Department of Clinical Medicine, School of Medicine, Zhejiang University, Hangzhou, China.
  • Ye Yan
    4 Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wandong Hong
    4 Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.