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

Tools, Programs and Algorithms (400) Clinical Informatics (1405) Big Data (317) eHealth Infrastructures (435) Electronic Health Records (1362) Public Health Data Analytics (97) Ethics, Privacy, and Legal Issues (645) Secondary Use of Clinical Data for Research and Surveillance (488)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83487, first published .
Scalable and Privacy-Conscious End-to-End Processing of Large-Scale Clinical Data for Precision Medicine: Empirical Evaluation Study

Scalable and Privacy-Conscious End-to-End Processing of Large-Scale Clinical Data for Precision Medicine: Empirical Evaluation Study

Scalable and Privacy-Conscious End-to-End Processing of Large-Scale Clinical Data for Precision Medicine: Empirical Evaluation Study

Authors of this article:

Jungwoo Lee1 Author Orcid Image ;   Sangwon Hwang2 Author Orcid Image ;   Kyu Hee Lee2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jungwoo Lee   1 , PhD ;   Sangwon Hwang   2 , PhD ;   Kyu Hee Lee   2 , PhD

1 Artificial Intelligence Big Data Medical Center, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

2 Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

Corresponding Author:

  • Kyu Hee Lee, PhD
  • Department of Precision Medicine
  • Yonsei University Wonju College of Medicine
  • 20 Ilsan-ro, Wonju-si, Gangwon-do
  • Wonju 26417
  • Republic of Korea
  • Phone: 82 82-741-0466
  • Email: powerpc@yonsei.ac.kr