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:
Medical informatics.
Data mining.
Information storage and retrieval systems.
Health Informatics.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Overview of patient data anonymization
  • Re-identification of clinical data through diagnosis information
  • Preventing re-identification while supporting GWAS
  • Case study on electronic medical records data
  • Conclusions and open research challenges
  • Index.

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