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

Kalpana Singh; Jia Rong; Lynn Batten

doi:10.1109/DSAA.2014.7058126

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

Kalpana Singh, Jia Rong, Lynn Batten

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-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 language	English
Title of host publication	Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics
Editors	Longbing Cao, George Karypis, Irwin King, Wei Wang
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	555-562
Number of pages	8
ISBN (Electronic)	9781479969913, 9781479969920
DOIs	https://doi.org/10.1109/DSAA.2014.7058126
Publication status	Published - 2014
Externally published	Yes
Event	IEEE International Conference on Data Science and Advanced Analytics 2014 - Shanghai, China Duration: 30 Oct 2014 → 1 Nov 2014 Conference number: 1st https://web.archive.org/web/20141026215611/http://datamining.it.uts.edu.au/conferences/dsaa14/ https://ieeexplore.ieee.org/xpl/conhome/7050498/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Data Science and Advanced Analytics 2014
Abbreviated title	DSAA 2014
Country/Territory	China
City	Shanghai
Period	30/10/14 → 1/11/14
Internet address	https://web.archive.org/web/20141026215611/http://datamining.it.uts.edu.au/conferences/dsaa14/ https://ieeexplore.ieee.org/xpl/conhome/7050498/proceeding (Proceedings)

Keywords

Data privacy
Privatization
Perturbation Method
Standards

Access to Document

10.1109/DSAA.2014.7058126

Cite this

Singh, K., Rong, J., & Batten, L. (2014). Sharing sensitive medical data sets for research purposes - a case study. In L. Cao, G. Karypis, I. King, & W. Wang (Eds.), Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics (pp. 555-562). Article 7058126 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DSAA.2014.7058126

Singh, Kalpana ; Rong, Jia ; Batten, Lynn. / Sharing sensitive medical data sets for research purposes - a case study. Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics. editor / Longbing Cao ; George Karypis ; Irwin King ; Wei Wang. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 555-562

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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.",

keywords = "Data privacy, Privatization, Perturbation Method, Standards",

author = "Kalpana Singh and Jia Rong and Lynn Batten",

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language = "English",

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editor = "Longbing Cao and George Karypis and Irwin King and Wei Wang",

booktitle = "Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Data Science and Advanced Analytics 2014, DSAA 2014 ; Conference date: 30-10-2014 Through 01-11-2014",

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Singh, K, Rong, J & Batten, L 2014, Sharing sensitive medical data sets for research purposes - a case study. in L Cao, G Karypis, I King & W Wang (eds), Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics., 7058126, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 555-562, IEEE International Conference on Data Science and Advanced Analytics 2014, Shanghai, China, 30/10/14. https://doi.org/10.1109/DSAA.2014.7058126

Sharing sensitive medical data sets for research purposes - a case study. / Singh, Kalpana; Rong, Jia; Batten, Lynn.
Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics. ed. / Longbing Cao; George Karypis; Irwin King; Wei Wang. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 555-562 7058126.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Rong, Jia

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N2 - 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.

AB - 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.

KW - Data privacy

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KW - Perturbation Method

KW - Standards

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BT - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics

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A2 - Karypis, George

A2 - King, Irwin

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE International Conference on Data Science and Advanced Analytics 2014

Y2 - 30 October 2014 through 1 November 2014

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Singh K, Rong J, Batten L. Sharing sensitive medical data sets for research purposes - a case study. In Cao L, Karypis G, King I, Wang W, editors, Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 555-562. 7058126 doi: 10.1109/DSAA.2014.7058126

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

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