Sharing sensitive medical data sets for research purposes - a case study

Kalpana Singh, Jia Rong, Lynn Batten

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Abstract

For medical research purposes, having access to large sets of data, often from various regions, improves statistical outcomes of analysis. However, patient data is usually considered to be sensitive and access to it is restricted by law and regulation. This paper employs privatization techniques which enable sharing of sensitive data. We demonstrate a case study on four medical data sets.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics
EditorsLongbing Cao, George Karypis, Irwin King, Wei Wang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages555-562
Number of pages8
ISBN (Electronic)9781479969913, 9781479969920
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventIEEE International Conference on Data Science and Advanced Analytics 2014 - Shanghai, China
Duration: 30 Oct 20141 Nov 2014
https://web.archive.org/web/20141026215611/http://datamining.it.uts.edu.au/conferences/dsaa14/

Conference

ConferenceIEEE International Conference on Data Science and Advanced Analytics 2014
Abbreviated titleDSAA 2014
CountryChina
CityShanghai
Period30/10/141/11/14
Internet address

Keywords

  • Data privacy
  • Privatization
  • Perturbation Method
  • Standards

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