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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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Gkoulalas-Divanis, Aris (Auteur), Loukides, Grigorios (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Collection:SpringerBriefs in Electrical and Computer Engineering,
Sujets:
Accès en ligne:Texto Completo