Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting.

Abstract

Authors

• Qian Zhang
  The Neonatal Intensive Care Unit, Peking Union Medical College Hospital, Peking, China.
• Peng Zheng
  Department of Neurology, The First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.
• Yang Pan
  Department of Biochemistry and Molecular Medicine, George Washington University, Washington, DC 20037, USA, Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA, Center for Bioinformatics and Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892-9760, USA, NASA Jet Propulsion Laboratory, Pasadena, CA, USA, Division of Cancer Prevention, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892-9760, USA, Wellcome Trust Sanger Institute, Cambridge, UK and McCormick Genomic and Proteomic Center, George Washington University, Washington, DC 20037, USA.
• Luo Li
  Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou, Jiangsu, China.
• Changqing Yang
  Department of Emergency, The Sixth Affiliated Hospital of Nantong University, 2 Xinduxi Road, Yancheng, Jiangsu, 224000, China.
• Hengfang Wu
  Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. wuhengfang@njmu.edu.cn.
• Zhiping Bian
  Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
• Sheng Zhao
  Department of Ultrasound, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China.
• Xiangjian Chen
  Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Keywords

External Resources