This paper is in the following e-collection/theme issue:
JMIR Theme Issue: COVID-19 Special Issue (2425) Clinical Information and Decision Making (1362) Decision Support for Health Professionals (1151) Outbreak and Pandemic Preparedness and Management (1708) Machine Learning (1421) Artificial Intelligence (1306)Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/42717, first published
.
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Authors of this article:
Hyun Woo Lee1, 2 ; Hyun Jun Yang2 ; Hyungjin Kim2, 3 ; Ue-Hwan Kim4 ; Dong Hyun Kim2, 5 ; Soon Ho Yoon2, 3 ; Soo-Youn Ham6 ; Bo Da Nam7 ; Kum Ju Chae8 ; Dabee Lee9 ; Jin Young Yoo10 ; So Hyeon Bak11 ; Jin Young Kim12 ; Jin Hwan Kim13 ; Ki Beom Kim14 ; Jung Im Jung15 ; Jae-Kwang Lim16 ; Jong Eun Lee17 ; Myung Jin Chung18 ; Young Kyung Lee19 ; Young Seon Kim20 ; Sang Min Lee21 ; Woocheol Kwon22 ; Chang Min Park2, 3 ; Yun-Hyeon Kim17 ; Yeon Joo Jeong23 ; Kwang Nam Jin2, 5 ; Jin Mo Goo2, 3
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