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Anonymization of Electronic Medical Records to Support Clinical Analysis

Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gkoulalas-Divanis, Aris (Autor), Loukides, Grigorios (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Electrical and Computer Engineering,
Temas:
Acceso en línea:Texto Completo