Unsupervised machine learning model for phenogroup-based stratification in acute type A aortic dissection to identify postoperative acute gastrointestinal injury.

Abstract

Authors

• Yuhu Ma
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Xiaofang Yang
  Department of Cardiac Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Chenxiang Weng
  The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
• Xiaoqing Wang
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Baoping Zhang
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Ying Liu
  The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
• Rui Wang
  Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
• Zhenxing Bao
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Peining Yang
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Hong Zhang
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
• Yatao Liu
  Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.

Keywords

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