Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients.

Journal: Clinical and experimental nephrology
PMID:

Abstract

OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous renal replacement therapy (CRRT) following coronary artery bypass grafting (CABG) surgery in intensive care unit (ICU) patients.

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.
  • Zhou Hong
    Department of Neurology, The Second Affiliated Hospital of Jianghan University (Wuhan City Fifth Hospital), Wuhan, Hubei, China.
  • Luo Li
    Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou, Jiangsu, China.
  • Nannan Liu
    Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhiping Bian
    Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
  • Xiangjian Chen
    Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
  • Hengfang Wu
    Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. wuhengfang@njmu.edu.cn.
  • Sheng Zhao
    Department of Ultrasound, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China.