This paper is in the following e-collection/theme issue:

Artificial Intelligence (1407) Machine Learning (1488) Pediatrics (203) Clinical Information and Decision Making (1423)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47612, first published .
Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study

Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study

Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study

Authors of this article:

Woocheol Jang1 Author Orcid Image ;   Yong Sung Choi2 Author Orcid Image ;   Ji Yoo Kim2 Author Orcid Image ;   Dong Keon Yon2 Author Orcid Image ;   Young Joo Lee3 Author Orcid Image ;   Sung-Hoon Chung4 Author Orcid Image ;   Chae Young Kim4 Author Orcid Image ;   Seung Geun Yeo5 Author Orcid Image ;   Jinseok Lee1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Woocheol Jang   1 * , BE ;   Yong Sung Choi   2 * , MD ;   Ji Yoo Kim   2 * , MD ;   Dong Keon Yon   2 * , MD ;   Young Joo Lee   3 , MD ;   Sung-Hoon Chung   4 , MD ;   Chae Young Kim   4 , MD ;   Seung Geun Yeo   5 , MD ;   Jinseok Lee   1 , PhD

1 Biomedical Engineering, Kyung Hee University, Yongin-si, Republic of Korea

2 Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

3 Department of Obstetrics and Gynecology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

4 Department of Pediatrics, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea

5 Department of Otorhinolaryngology Head and Neck Surgery, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jinseok Lee, PhD
  • Biomedical Engineering
  • Kyung Hee University
  • 1732, Deogyeong-daero, Giheung-gu
  • Yongin-si, 17104
  • Republic of Korea
  • Phone: 82 312012570
  • Email: gonasago@khu.ac.kr