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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...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3583146/ https://ncbi.nlm.nih.gov/pubmed/22776564 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-12-66 |
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