Heuristics for De-identifying Health Data

Authors:
Khaled El Emam
Affiliations:
Children's Hospital of Eastern Ontario Research Institute
Venue:
IEEE Security and Privacy
Year:
2008

Citing 0
Cited 3

A method for evaluating marketer re-identification risk

Proceedings of the 2010 EDBT/ICDT Workshops
Database theory for users unexpert: a strategy for learning computer science and information technology

ADNTIIC'10 Proceedings of the First international conference on Advances in new technologies, interactive interfaces, and communicability
Efficient discovery of de-identification policy options through a risk-utility frontier

Proceedings of the third ACM conference on Data and application security and privacy

Quantified Score

Hi-index	0.00

Visualization

Abstract

Before releasing personal health information for secondary uses, such as research or public health monitoring, organizations must de-identify the data they've collected. Several common heuristics are useful for this purpose, but they also have limitations.