EAN: 9781461456674

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

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.

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