Efficient and effective pruning strategies for health data de-identification

BACKGROUND: Privacy must be protected when sensitive biomedical data is shared, e.g. for research purposes. Data de-identification is an important safeguard, where datasets are transformed to meet two conflicting objectives: minimizing re-identification risks while maximizing data quality. Typically...

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Detalles Bibliográficos
Autores principales: Prasser, Fabian, Kohlmayer, Florian, Kuhn, Klaus A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851781/
https://www.ncbi.nlm.nih.gov/pubmed/27130179
http://dx.doi.org/10.1186/s12911-016-0287-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851781/
https://www.ncbi.nlm.nih.gov/pubmed/27130179
http://dx.doi.org/10.1186/s12911-016-0287-2

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