New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Anonymization of Electronic Medical Records to Support Clinical Analysis. ISBN 1461456673 9781461456674 [GB]

Springer, Date: 2012. Paperback. New. 100 pages. 9.25x6.25x0.25 inches. 2012. Springer ISBN 1461456673 9781461456674 [GB]

ISBN10: 1461456673, ISBN13: 9781461456674, [publisher: Springer] Softcover 100 pages. 9.25x6.25x0.25 inches. In Stock.
[Exeter, United Kingdom] [Publication Year: 2012]

Springer 10/13/2012 2013 Paperback Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.

ISBN10: 1461456673, ISBN13: 9781461456674, [publisher: Springer US] Softcover Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2013 22739304/12
[Trebbin, Germany] [Publication Year: 2012]

ISBN10: 1461456673, ISBN13: 9781461456674, [publisher: Springer] Softcover
[Bayonne, NJ, U.S.A.] [Publication Year: 2012]
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ISBN10: 1461456673, ISBN13: 9781461456674, [publisher: Springer] Softcover Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.
[Gloucester, GLOS, United Kingdom] [Publication Year: 2012]

ISBN10: 1461456673, ISBN13: 9781461456674, [publisher: Springer New York] Softcover Druck auf Anfrage Neuware - Printed after ordering - 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 integrityof 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 ...
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