A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation.

Abstract

Authors

• Ji Won Min
  Department of Internal Medicine, Bucheon St Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Republic of Korea.
• Jae-Hong Min
  School of Information, University of California, Berkley, CA, United States.
• Se-Hyun Chang
  Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
• Byung Ha Chung
• Eun Sil Koh
  Department of Rehabilitation Medicine, National Medical Center, Seoul, Korea.
• Young Soo Kim
  3 Department of Neurosurgery, School of Medicine, Hanyang University, Seoul, Korea.
• Hyung Wook Kim
  Dae Gon Ryu, Hyung Wook Kim, Su Bum Park, Dae Hwan Kang, Cheol Woong Choi, Su Jin Kim, Hyeong Seok Nam, Department of Internal Medicine, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 626-770, South Korea.
• Tae Hyun Ban
  Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
• Seok Joon Shin
  Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
• In Young Choi
  Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
• Hye Eun Yoon
  Department of Internal Medicine, Incheon St Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Republic of Korea.

Keywords

External Resources