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

Machine Learning (1465) Ethics, Privacy, and Legal Issues (479) Data Science (270) Clinical Informatics (1022) Bioinformatics Methods and Algorithms (14) Tools, Programs and Algorithms (266) Big Data (240) Electronic Health Records (1053)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26914, first published .
Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation

Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation

Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation

Authors of this article:

MinDong Sung1 Author Orcid Image ;   Dongchul Cha1, 2 Author Orcid Image ;   Yu Rang Park1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Jiang R, Han S, Shi M, Gao T, Zhao X, Gao H. Healthcare Big Data Privacy Protection Model Based on Risk-Adaptive Access Control. Security and Communication Networks 2022;2022:1 View
  2. Hernandez-Matamoros A, Kikuchi H. Comparative Analysis of Local Differential Privacy Schemes in Healthcare Datasets. Applied Sciences 2024;14(7):2864 View
  3. Osorio-Marulanda P, Epelde G, Hernandez M, Isasa I, Reyes N, Iraola A. Privacy Mechanisms and Evaluation Metrics for Synthetic Data Generation: A Systematic Review. IEEE Access 2024;12:88048 View