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Anonymizing Health Data
book

Anonymizing Health Data

by Khaled El Emam, Luk Arbuckle
December 2013
Intermediate to advanced
225 pages
6h 28m
English
O'Reilly Media, Inc.
Content preview from Anonymizing Health Data

Index

A

acceptable risk, Evaluation Is Key
access, T3: Data Breach
accountability, T3: Data Breach
actual knowledge, Lists
additives, Bringing Paillier to the Parties
adversary power, Longitudinal Events Data: A Disaster Registry–A Sample of Power, Many Quasi-Identifiers
of events, The Power of Events–The Power of Events
keeping in check, Keeping Power in Check
in practice, Power in Practice
quasi-identifier for, Power in Practice
samples of, A Sample of Power–A Sample of Power
alerts, anonymization and, Use Cases
all-knowing adversaries, Final Thoughts
American Society of Clinical Oncology (ASCO), Masking: Oncology Databases
analytics, ethics and, Stigmatizing Analytics
Anatomic Therapeutic Chemical (ATC) classification, The (Alpha)Digits of Drugs
converting NDCs to, The (Alpha)Digits of Drugs
anonymization, Introduction–About This Book
alerts and, Use Cases
applications for, Anonymization in Other Domains–Anonymization in Other Domains
automating, Making It Automated
benefits of, To Anonymize or Not to Anonymize
consent or, Consent, or Anonymization?
costs of, Penny Pinching
data warehouses and, Use Cases
de-identification, The Two Pillars of Anonymization
de-identification standards, De-Identification Standards–Risk-based methodology
direct identifiers, Step 1: Selecting Direct and Indirect Identifiers
ethics and, Stigmatizing Analytics
masking, The Two Pillars of Anonymization
masking standards for, Masking Standards
medical devices and, Use Cases
open data and, Use Cases
organizational readiness for, Organizational ...
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Publisher Resources

ISBN: 9781449363062Errata Page