Published on in Vol 6, No 4 (2018): Oct-Dec
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/7096, first published
.
Journals
- Tsai Y, Wang S, Ting I, Hong T. Flexible sensitive K-anonymization on transactions. World Wide Web 2020;23(4):2391 View
- Rankin D, Black M, Bond R, Wallace J, Mulvenna M, Epelde G. Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing. JMIR Medical Informatics 2020;8(7):e18910 View
- Jeon S, Seo J, Kim S, Lee J, Kim J, Sohn J, Moon J, Joo H. Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models. Journal of Medical Internet Research 2020;22(11):e19597 View
- Knoppers T, Beauchamp E, Dewar K, Kimmins S, Bourque G, Joly Y, Dupras C. The omics of our lives: practices and policies of direct-to-consumer epigenetic and microbiomic testing companies. New Genetics and Society 2021;40(4):541 View
- Vranopoulos G, Clarke N, Atkinson S. Big Data Confidentiality: An Approach Toward Corporate Compliance Using a Rule-Based System. Big Data 2023 View
- Abu Attieh H, Neves D, Guedes M, Mirandola M, Dellacasa C, Rossi E, Prasser F. A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study. JMIR Medical Informatics 2024;12:e49646 View