Published on in Vol 8, No 3 (2020): March
![Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study](https://asset.jmir.pub/assets/6254cb8a3f5ba74ca055646ed7fca0c6.png 480w,https://asset.jmir.pub/assets/6254cb8a3f5ba74ca055646ed7fca0c6.png 960w,https://asset.jmir.pub/assets/6254cb8a3f5ba74ca055646ed7fca0c6.png 1920w,https://asset.jmir.pub/assets/6254cb8a3f5ba74ca055646ed7fca0c6.png 2500w)
1 Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea
2 Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Republic of Korea
3 Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Goyang-si, Republic of Korea
4 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
5 Department of Biomedical Informatics, Asan Medical Center, Seoul, Republic of Korea
6 Department of Emergency Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
7 Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
8 Health Innovation Big Data Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea
9 Medical Information Office, Asan Medical Center, Seoul, Republic of Korea
10 Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
11 Department of Pulmonary and Critical Care Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea