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
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