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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Gkoulalas-Divanis, Aris (Author), Loukides, Grigorios (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Electrical and Computer Engineering,
Subjects:
Medical informatics.
Data mining.
Information storage and retrieval systems.
Health Informatics.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Online Access:Texto Completo
Table of Contents:
  • 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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