東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Patients- Legal status, laws, etc." ]

切換: 標籤 | MARC模式 | ISBD

Medical data privacy handbook

Gkoulalas-Divanis, Aris.

FindBook

Google Book

Amazon

博客來

Medical data privacy handbook

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Medical data privacy handbook/ edited by Aris Gkoulalas-Divanis, Grigorios Loukides.
其他作者:	Gkoulalas-Divanis, Aris.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xliii, 832 p. :ill., digital ;24 cm.
內容註:	Introduction to Medical Privacy -- A survey of anonymization algorithms for electronic health records -- Differentially Private Histogram and Synthetic Data Publication -- Evaluating the Utility of Differential Privacy -- SECRETA -- Putting Statistical Disclosure Control into Practice -- Utility-constrained Electronic Health Record Data Publishing Through Generalization and Disassociation -- Methods to Mitigate Risk of Composition Attack in Independent Data Publications -- Statistical Disclosure Limitation for Health Data -- A Review of Privacy Preserving Mechanisms for Record Linkage -- Application of Privacy Preserving Techniques in Operational Record Linkage Centres -- Privacy Considerations for Health Information Exchanges -- Managing Access Control in Collaborative Processes for Healthcare Applications -- Automating Consent Management Lifecycle for Electronic Healthcare Systems -- e-Health Cloud -- Preserving Genome Privacy in Research Studies -- Private Genome Data Dissemination -- Threats and Solutions for Genomic Data Privacy -- Medical Image Security -- Privacy Considerations and Techniques for Neuroimages -- Data Privacy Issues with RFID in Healthcare -- Privacy Preserving Classification of ECG Signals in Mobile e-Health Applications -- Strengthening Privacy in Healthcare Social Networks -- Privacy Law, Data Sharing Policies, and Medical Data -- HIPAA and Human Error -- De-identification of Unstructured Clinical Data for Patient Privacy Protection -- Challenges in Synthesizing Surrogate PHI in Narrative EMRs -- Building on Principles -- Epilogue.
Contained By:	Springer eBooks
標題:	Health Informatics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-23633-9
ISBN:	9783319236339

Medical data privacy handbook
Medical data privacy handbook[electronic resource] /edited by Aris Gkoulalas-Divanis, Grigorios Loukides. - Cham :Springer International Publishing :2015. - xliii, 832 p. :ill., digital ;24 cm.

Introduction to Medical Privacy -- A survey of anonymization algorithms for electronic health records -- Differentially Private Histogram and Synthetic Data Publication -- Evaluating the Utility of Differential Privacy -- SECRETA -- Putting Statistical Disclosure Control into Practice -- Utility-constrained Electronic Health Record Data Publishing Through Generalization and Disassociation -- Methods to Mitigate Risk of Composition Attack in Independent Data Publications -- Statistical Disclosure Limitation for Health Data -- A Review of Privacy Preserving Mechanisms for Record Linkage -- Application of Privacy Preserving Techniques in Operational Record Linkage Centres -- Privacy Considerations for Health Information Exchanges -- Managing Access Control in Collaborative Processes for Healthcare Applications -- Automating Consent Management Lifecycle for Electronic Healthcare Systems -- e-Health Cloud -- Preserving Genome Privacy in Research Studies -- Private Genome Data Dissemination -- Threats and Solutions for Genomic Data Privacy -- Medical Image Security -- Privacy Considerations and Techniques for Neuroimages -- Data Privacy Issues with RFID in Healthcare -- Privacy Preserving Classification of ECG Signals in Mobile e-Health Applications -- Strengthening Privacy in Healthcare Social Networks -- Privacy Law, Data Sharing Policies, and Medical Data -- HIPAA and Human Error -- De-identification of Unstructured Clinical Data for Patient Privacy Protection -- Challenges in Synthesizing Surrogate PHI in Narrative EMRs -- Building on Principles -- Epilogue.

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.

ISBN: 9783319236339

Standard No.: 10.1007/978-3-319-23633-9doiSubjects--Topical Terms:

892928
Health Informatics.

LC Class. No.: K3611.R43

Dewey Class. No.: 344.04196

Medical data privacy handbook
LDR:03814nmm a2200325 a 4500 001 2013086
003 DE-He213
005 20160425140124.0
006 m d
007 cr nn 008maaau
008 160518s2015 gw s 0 eng d
020 $a 9783319236339 $q (electronic bk.)
020 $a 9783319236322 $q (paper)
024 7 $a 10.1007/978-3-319-23633-9 $2 doi
035 $a 978-3-319-23633-9
040 $a GP $c GP
041 0 $a eng
050 4 $a K3611.R43
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 344.04196 $2 23
090 $a K3611.R43 $b M489 2015
245 0 0 $a Medical data privacy handbook $h [electronic resource] / $c edited by Aris Gkoulalas-Divanis, Grigorios Loukides.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xliii, 832 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction to Medical Privacy -- A survey of anonymization algorithms for electronic health records -- Differentially Private Histogram and Synthetic Data Publication -- Evaluating the Utility of Differential Privacy -- SECRETA -- Putting Statistical Disclosure Control into Practice -- Utility-constrained Electronic Health Record Data Publishing Through Generalization and Disassociation -- Methods to Mitigate Risk of Composition Attack in Independent Data Publications -- Statistical Disclosure Limitation for Health Data -- A Review of Privacy Preserving Mechanisms for Record Linkage -- Application of Privacy Preserving Techniques in Operational Record Linkage Centres -- Privacy Considerations for Health Information Exchanges -- Managing Access Control in Collaborative Processes for Healthcare Applications -- Automating Consent Management Lifecycle for Electronic Healthcare Systems -- e-Health Cloud -- Preserving Genome Privacy in Research Studies -- Private Genome Data Dissemination -- Threats and Solutions for Genomic Data Privacy -- Medical Image Security -- Privacy Considerations and Techniques for Neuroimages -- Data Privacy Issues with RFID in Healthcare -- Privacy Preserving Classification of ECG Signals in Mobile e-Health Applications -- Strengthening Privacy in Healthcare Social Networks -- Privacy Law, Data Sharing Policies, and Medical Data -- HIPAA and Human Error -- De-identification of Unstructured Clinical Data for Patient Privacy Protection -- Challenges in Synthesizing Surrogate PHI in Narrative EMRs -- Building on Principles -- Epilogue.
520 $a 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.
650 2 4 $a Health Informatics. $3 892928
650 0 $a Medical records $x Law and legislation. $3 617534
650 0 $a Patients $x Legal status, laws, etc. $3 875292
650 0 $a Privacy, Right of. $3 606607
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Database Management. $3 891010
650 2 4 $a Systems and Data Security. $3 898223
650 2 4 $a Data Structures, Cryptology and Information Theory. $3 891008
700 1 $a Gkoulalas-Divanis, Aris. $3 1073845
700 1 $a Loukides, Grigorios. $3 2162408
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23633-9
950 $a Computer Science (Springer-11645)