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A Privacy-Preserved Analytical Method for eHealth Database with Minimized Information Loss
Joint Authors
Hou, Bo-Yu
Hsu, Shih-Chun
Liao, Guo-Tan
Cheng, Bo-Chao
Lin, Chia-I
Chen, Ya-Ling
Chen, Hsueh-Lin
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Digitizing medical information is an emerging trend that employs information and communication technology (ICT) to manage health records, diagnostic reports, and other medical data more effectively, in order to improve the overall quality of medical services.
However, medical information is highly confidential and involves private information, even legitimate access to data raises privacy concerns.
Medical records provide health information on an as-needed basis for diagnosis and treatment, and the information is also important for medical research and other health management applications.
Traditional privacy risk management systems have focused on reducing reidentification risk, and they do not consider information loss.
In addition, such systems cannot identify and isolate data that carries high risk of privacy violations.
This paper proposes the Hiatus Tailor (HT) system, which ensures low re-identification risk for medical records, while providing more authenticated information to database users and identifying high-risk data in the database for better system management.
The experimental results demonstrate that the HT system achieves much lower information loss than traditional risk management methods, with the same risk of re-identification.
American Psychological Association (APA)
Chen, Ya-Ling& Cheng, Bo-Chao& Chen, Hsueh-Lin& Lin, Chia-I& Liao, Guo-Tan& Hou, Bo-Yu…[et al.]. 2012. A Privacy-Preserved Analytical Method for eHealth Database with Minimized Information Loss. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-478329
Modern Language Association (MLA)
Chen, Ya-Ling…[et al.]. A Privacy-Preserved Analytical Method for eHealth Database with Minimized Information Loss. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-478329
American Medical Association (AMA)
Chen, Ya-Ling& Cheng, Bo-Chao& Chen, Hsueh-Lin& Lin, Chia-I& Liao, Guo-Tan& Hou, Bo-Yu…[et al.]. A Privacy-Preserved Analytical Method for eHealth Database with Minimized Information Loss. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-478329
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478329