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Estimating the re-identification risk of clinical data sets
BACKGROUND: De-identification is a common way to protect patient privacy when disclosing clinical data for secondary purposes, such as research. One type of attack that de-identification protects against is linking the disclosed patient data with public and semi-public registries. Uniqueness is a co...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3583146/ https://www.ncbi.nlm.nih.gov/pubmed/22776564 http://dx.doi.org/10.1186/1472-6947-12-66 |