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. Jeon, S., Seo, J., Kim, S., Lee, J., Kim, J. H., Sohn, J. W., Moon, J., & Joo, H. J. J Med Internet Res, 22(11):e19597, 2020.
Paper doi bibtex @article{RN22,
author = {Jeon, S. and Seo, J. and Kim, S. and Lee, J. and Kim, J. H. and Sohn, J. W. and Moon, J. and Joo, H. J.},
title = {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 = {J Med Internet Res},
volume = {22},
number = {11},
pages = {e19597},
ISSN = {1438-8871 (Electronic)
1438-8871 (Linking)},
DOI = {v22i11e19597 [pii]
10.2196/19597},
url = {https://www.ncbi.nlm.nih.gov/pubmed/33177037},
year = {2020},
type = {Journal Article}
}
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