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The Importance of Context: Risk-based De-identification of Biomedical Data
33
Zitationen
3
Autoren
2016
Jahr
Abstract
The methods studied in this article are well suited for protecting sensitive biomedical data and our implementation is available as open-source software. Our results can be used by data custodians to increase the information content of de-identified data by tailoring the process to a specific data sharing scenario. Improving data quality is important for fostering the adoption of de-identification methods in biomedical research.
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