Anonymization of Electronic Medical Records to Support Clinical Analysis

• Κύριοι συγγραφείς: Gkoulalas-Divanis, Aris (Συγγραφέας), Loukides, Grigorios (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Computer science.; Health informatics.; Data mining.; Information storage and retrieval.; Computer Science.; Health Informatics.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.

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...

Πίνακας περιεχομένων:

• Introduction
• Overview of patient data anonymization
• Re-identification of clinical data through diagnosis information
• Preventing re-identification while supporting GWAS
• Case study on electronic medical records data
• Conclusions and open research challenges
• Index.