Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52134, first published .
Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Sangwon Baek   1, 2 , BA ;   Yeon joo Jeong   3 , MD ;   Yun-Hyeon Kim   4 , MD ;   Jin Young Kim   5 , MD ;   Jin Hwan Kim   6 , MD ;   Eun Young Kim   7 , MD ;   Jae-Kwang Lim   8 , MD ;   Jungok Kim   9 , MD ;   Zero Kim   1, 10 , PhD ;   Kyunga Kim   10, 11, 12 * , PhD ;   Myung Jin Chung   1, 10, 12, 13 * , MD, PhD

1 Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea

2 Center for Data Science, New York University, New York, NY, United States

3 Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea

4 Department of Radiology, Chonnam National University Hospital, Gwangju, Republic of Korea

5 Department of Radiology, Keimyung University Dongsan Hospital, Daegu, Republic of Korea

6 Department of Radiology, Chungnam National University Hospital, Daejeon, Republic of Korea

7 Department of Radiology, Gachon University Gil Medical Center, Incheon, Republic of Korea

8 Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

9 Department of Infectious Diseases, Chungnam National University Sejong Hospital, Sejong, Republic of Korea

10 Department of Data Convergence & Future Medicine, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

11 Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea

12 Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea

13 Department of Radiology, Samsung Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Kyunga Kim, PhD
  • Biomedical Statistics Center, Research Institute for Future Medicine
  • Samsung Medical Center
  • 81 Irwon-ro, Gangnam-gu
  • Seoul, 06351
  • Republic of Korea
  • Phone: 82 2-3410-6745
  • Fax: 82 2-3410-2525
  • Email: kyunga.j.kim@gmail.com