Privacy preserving data mining on published data in healthcare: A survey

Lina A. Abuwardih, Wa'Ed Shatnawi, Ahmed Aleroud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Healthcare data is considered very significant to researchers in this field. Such information must be published with methods that keep the identity of patients hidden especially when dealing with sensitive information. Publishing such information makes it more vulnerable to attackers. As such, many techniques were proposed to preserve the privacy of healthcare data. In this paper, we illustrated a survey for the models and techniques that are used for publishing data about patients.

Original languageEnglish (US)
Title of host publicationProceedings - CSIT 2016
Subtitle of host publication2016 7th International Conference on Computer Science and Information Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389136
DOIs
StatePublished - Aug 23 2016
Externally publishedYes
Event7th International Conference on Computer Science and Information Technology, CSIT 2016 - Amman, Jordan
Duration: Jul 13 2016Jul 14 2016

Publication series

NameProceedings - CSIT 2016: 2016 7th International Conference on Computer Science and Information Technology

Conference

Conference7th International Conference on Computer Science and Information Technology, CSIT 2016
CountryJordan
CityAmman
Period7/13/167/14/16

Keywords

  • Anonymization
  • Electronic Healthcare
  • Privacy Models

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software
  • Artificial Intelligence

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