Cart (Loading....) | Create Account
Close category search window

Risk-Based De-Identification of Health Data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
El Emam, K. ; Children''s Hosp. of Eastern Ontario, ON, Canada

This article describes a method for assessing the overall risk of re-identification for a health data set and how that risk information can be used to decide how much to de-identify the data before it's disclosed. Such an approach ensures that the amount of distortion to the data is proportionate to the risk involved in disclosing a particular data set to a particular data recipient.

Published in:

Security & Privacy, IEEE  (Volume:8 ,  Issue: 3 )

Date of Publication:

May-June 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.