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

Security in Digital Health (35) Tools, Programs and Algorithms (275) Electronic Health Records (1068) Machine Learning (1501) New Technologies (81) Secondary Use of Clinical Data for Research and Surveillance (375)

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

Authors of this article:

Jungyo Suh1 Author Orcid Image ;   Garam Lee2 Author Orcid Image ;   Jung Woo Kim2 Author Orcid Image ;   Junbum Shin2 Author Orcid Image ;   Yi-Jun Kim3 Author Orcid Image ;   Sang-Wook Lee4 Author Orcid Image ;   Sulgi Kim2 Author Orcid Image
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