Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56893, first published .
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study

Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study

Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study

Jungyo Suh   1 * , Prof Dr Med ;   Garam Lee   2 * , MS ;   Jung Woo Kim   2 , PhD ;   Junbum Shin   2 , PhD ;   Yi-Jun Kim   3 , Prof Dr Med, PhD ;   Sang-Wook Lee   4 * , Prof Dr Med, PhD ;   Sulgi Kim   2 * , PhD

1 Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

2 CryptoLab Inc, Seoul, Republic of Korea

3 Department of Environmental Medicine, Ewha Womans University College of Medicine, Seoul, Republic of Korea

4 Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Sang-Wook Lee, Prof Dr Med, PhD
  • Department of Anesthesiology and Pain Medicine
  • Asan Medical Center, University of Ulsan College of Medicine
  • 88, Olympic-ro 43-gil, Songpa-gu
  • Seoul, 05505
  • Republic of Korea
  • Phone: 82 2-3010-1783
  • Fax: 82 2-3010-6790
  • Email: sangwooklee20@gmail.com