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A scalable software solution for anonymizing high-dimensional biomedical data

BACKGROUND: Data anonymization is an important building block for ensuring privacy and fosters the reuse of data. However, transforming the data in a way that preserves the privacy of subjects while maintaining a high degree of data quality is challenging and particularly difficult when processing c...

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Detalles Bibliográficos
Autores principales: Meurers, Thierry, Bild, Raffael, Do, Kieu-Mi, Prasser, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489190/
https://www.ncbi.nlm.nih.gov/pubmed/34605868
http://dx.doi.org/10.1093/gigascience/giab068