Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47693, first published .
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Suncheol Heo   1 * , MS ;   Eun-Ae Kang   2 * , BA ;   Jae Yong Yu   1 * , PhD ;   Hae Reong Kim   1 , PhD ;   Suehyun Lee   3 , PhD ;   Kwangsoo Kim   4 , PhD ;   Yul Hwangbo   5 , MD, PhD ;   Rae Woong Park   6 , MD, PhD ;   Hyunah Shin   7 , BA ;   Kyeongmin Ryu   7 , BA ;   Chungsoo Kim   8 , PharmD ;   Hyojung Jung   5 , BA ;   Yebin Chegal   9 , BA ;   Jae-Hyun Lee   10, 11 , MD, PhD ;   Yu Rang Park   1 , PhD

1 Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

2 Medical Informatics Collaborative Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea

3 Department of Computer Engineering, Gachon University, Seongnam, Republic of Korea

4 Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea

5 Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea

6 Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea

7 Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea

8 Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea

9 Department of Statistics, Korea University, Seoul, Republic of Korea

10 Division of Allergy and Immunology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

11 Institute of Allergy, Yonsei University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Yu Rang Park, PhD
  • Department of Biomedical System Informatics
  • Yonsei University College of Medicine
  • 50-1 Yonsei-ro, Seodaemun-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 2-2228-2493
  • Email: yurangpark@yuhs.ac