Anonymization of Electronic Medical Records to Support Clinical Analysis

• Main Authors: Gkoulalas-Divanis, Aris. (Author), Loukides, Grigorios. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Medical records > Data processing.; Data mining.; Information storage and retrieval systems.; Computer Science.; Health Informatics.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-5668-1

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...

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.