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SpringerBriefs in Electrical and Computer Engineering

Anonymization of Electronic Medical Records to Support Clinical Analysis

Authors: Gkoulalas-Divanis, Aris, Loukides, Grigorios

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  • ISBN 978-1-4614-5668-1
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  • ISBN 978-1-4614-5667-4
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About this book

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 first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for subsequent analysis, such as discovering or validating associations between clinical and genomic information.

Anonymization of Electronic Medical Records to Support Clinical Analysis is intended for professionals as a reference guide for safeguarding the privacy and data integrity of sensitive medical records. Academics and other research scientists will also find the book invaluable.

Table of contents (6 chapters)

  • Introduction

    Gkoulalas-Divanis, Aris (et al.)

    Pages 1-8

  • Overview of Patient Data Anonymization

    Gkoulalas-Divanis, Aris (et al.)

    Pages 9-30

  • Re-identification of Clinical Data Through Diagnosis Information

    Gkoulalas-Divanis, Aris (et al.)

    Pages 31-38

  • Preventing Re-identification While Supporting GWAS

    Gkoulalas-Divanis, Aris (et al.)

    Pages 39-53

  • Case Study on Electronic Medical Records Data

    Gkoulalas-Divanis, Aris (et al.)

    Pages 55-64

Buy this book

eBook $29.99
price for USA
  • ISBN 978-1-4614-5668-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $39.95
price for USA
  • ISBN 978-1-4614-5667-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Anonymization of Electronic Medical Records to Support Clinical Analysis
Authors
Series Title
SpringerBriefs in Electrical and Computer Engineering
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4614-5668-1
DOI
10.1007/978-1-4614-5668-1
Softcover ISBN
978-1-4614-5667-4
Series ISSN
2191-8112
Edition Number
1
Number of Pages
XV, 72
Number of Illustrations and Tables
23 b/w illustrations
Topics