Published on in Vol 9, No 1 (2021): January
![Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study](https://asset.jmir.pub/assets/691306f54326652e2f06865d41f30e63.png 480w,https://asset.jmir.pub/assets/691306f54326652e2f06865d41f30e63.png 960w,https://asset.jmir.pub/assets/691306f54326652e2f06865d41f30e63.png 1920w,https://asset.jmir.pub/assets/691306f54326652e2f06865d41f30e63.png 2500w)
1 School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea
2 Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
3 Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
4 Department of Radiology, Keimyung University Dongsan Hospital, Daegu, Republic of Korea
5 Department of Radiology, Daegu Fatima Hospital, Daegu, Republic of Korea
6 Department of Radiology, Yeungnam University Medical Center, Daegu, Republic of Korea
7 Department of Radiology, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea
*these authors contributed equally