Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery.

Abstract

Authors

• Man Xu
  Business School, Nankai University, Tianjin 300071, China.
• Hao Liu
  Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
• Anran Dai
  Department of Pharmacy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
• Qilian Tan
  Department of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
• Xinlong Zhang
  Department of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
• Rui Ding
  National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Nanjing University, 22 Hankou Road, Nanjing 210093, P. R. China.
• Chen Chen
  The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
• Jianjun Zou
  School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China; Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
• Yongjun Li
  Peking University Aerospace School of Clinical Medicine, Beijing, China.
• Yanna Si
  Department of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Keywords

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