Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24120, first published .
Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation

Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation

Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation

Kipyo Kim   1 * , MD, PhD ;   Hyeonsik Yang   2 * , BSc ;   Jinyeong Yi   3 , MA ;   Hyung-Eun Son   4 , MD ;   Ji-Young Ryu   4 , MD ;   Yong Chul Kim   5 , MD, PhD ;   Jong Cheol Jeong   4 , MD, PhD ;   Ho Jun Chin   4 , MD, PhD ;   Ki Young Na   4 , MD, PhD ;   Dong-Wan Chae   4 , MD, PhD ;   Seung Seok Han   5 , MD, PhD ;   Sejoong Kim   4, 6 , MD, PhD

1 Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea

2 Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea

3 Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea

4 Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

5 Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea

6 Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Sejoong Kim, MD, PhD
  • Department of Internal Medicine
  • Seoul National University Bundang Hospital
  • 82 Gumi-ro 173-beon-gil Bundang-gu
  • Seongnam, 13620
  • Republic of Korea
  • Phone: 82 31-787-7051
  • Fax: 82 31-787-4052
  • Email: sejoong@snubh.org