Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury.

Abstract

Authors

• Le Li
  Department of Rehabilitation Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
• Jingyuan Guan
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Xi Peng
  Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
• Likun Zhou
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Zhuxin Zhang
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Ligang Ding
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Lihui Zheng
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Lingmin Wu
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Zhicheng Hu
  Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
• Limin Liu
  Electrical and Electronic Teaching Center, Electronics Information Engineering College, Changchun University, Changchun 130022, China.
• Yan Yao
  Automation College, Beijing University of Posts and Telecommunications, Beijing, China.

Keywords

External Resources