A Globally Optimal k-Anonymity Method for the De-Identification of Health Data
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Open Access
- 1 September 2009
- journal article
- research article
- Published by Oxford University Press (OUP) in Journal of the American Medical Informatics Association
- Vol. 16 (5) , 670-682
- https://doi.org/10.1197/jamia.m3144
Abstract
Background: Explicit patient consent requirements in privacy laws can have a negative impact on health research, leading to selection bias and reduceKeywords
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