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Machine-Learning Model for the Prediction of Hypoxaemia during Endoscopic Retrograde Cholangiopancreatography under Monitored Anaesthesia Care.

Huapyong KangBora LeeJung Hyun JoHee Seung LeeJeong Youp ParkSeungmin BangSeung Woo ParkSi Young SongJoonhyung ParkHajin ShimJung Hyun LeeEunho YangEun Wha KimKwang Joon KimMin-Soo KimMoon-Jae Chung
Published in: Yonsei medical journal (2022)
We established GBM ensemble model and LR model for risk prediction, which demonstrated good potential for preventing hypoxaemia during ERCP under MAC.
Keyphrases
  • machine learning
  • healthcare
  • quality improvement
  • artificial intelligence
  • ultrasound guided
  • pain management
  • big data