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

Ethics, Privacy, and Legal Issues (551) Registered Report (677) Big Data (282) Tools, Programs and Algorithms (323) Secondary Use of Clinical Data for Research and Surveillance (417) Data Science (306) Security and Privacy of mHealth and uHealth (144)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49445, first published .
The Costs of Anonymization: Case Study Using Clinical Data

The Costs of Anonymization: Case Study Using Clinical Data

The Costs of Anonymization: Case Study Using Clinical Data

Authors of this article:

Lisa Pilgram1, 2 Author Orcid Image ;   Thierry Meurers3 Author Orcid Image ;   Bradley Malin4 Author Orcid Image ;   Elke Schaeffner5 Author Orcid Image ;   Kai-Uwe Eckardt2, 6 Author Orcid Image ;   Fabian Prasser3 Author Orcid Image ;   GCKD Investigators7
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Halilovic M, Meurers T, Otte K, Prasser F. Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data. BMC Medical Informatics and Decision Making 2025;25(1) View

Books/Policy Documents

  1. Rush L, Schmid M, Raptis G. Information and Communication Technology. View