Khaled El Emam, Luk Arbuckle
Anonymizing Health Data: Case Studies and Methods to Get You Started
- ISBN 13:
- 9781449363079
- author:
- Khaled El Emam, Luk Arbuckle
- format:
- Paperback
- publisher:
- OReilly Media
- language:
- English
- Publication Year:
- 2013
- Pages:
- 228
- Dimensions:
- 17.8 x 1.3 x 23.3 cm
- Genre:
- Computing & Internet, Computer Science, Information Systems
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Anonymizing Health Data: A Practical Approach This book provides a practical guide to anonymizing health data, helping organizations share valuable datasets while protecting patient identity. Khaled El Emam and Luk Arbuckle present a risk-based methodology using real-world case studies from various datasets. The authors demonstrate techniques for handling different data types, including clinical data, unstructured text, and geospatial information. They also explore methods for working with cross-sectional and longitudinal datasets, assessing the risks of re-identification and reducing dataset size without compromising quality or privacy. By applying these methods, you can minimize the risks inherent in health data and learn how to anonymize coding information and link related datasets.