Name: Medical Data Privacy Handbook (en Inglés)
SKU: 58806060
Price: 246.54 USD
Availability: InStock
Author: Gkoulalas-Divanis, Aris ; Loukides, Grigorios
ISBN: 9783319795140

portada Medical Data Privacy Handbook (en Inglés)

Medical Data Privacy Handbook (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Gkoulalas-Divanis, Aris ; Loukides, Grigorios

Idioma

Inglés

N° páginas

832

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x4.4 cm

Peso

1.21 kg.

ISBN13

9783319795140

Categorías

Teoría de la información
Bases de datos
Seguridad informática
Arquitectura de la información

Medical Data Privacy Handbook (en Inglés)

Gkoulalas-Divanis, Aris ; Loukides, Grigorios (Autor) · Springer · Tapa Blanda

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Reseña del libro "Medical Data Privacy Handbook (en Inglés)"

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors' comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.