@inproceedings{ddb75346c60e4f8dae15076cdfd1d7a4,
title = "Privacy preserving data mining on published data in healthcare: A survey",
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.",
keywords = "Anonymization, Electronic Healthcare, Privacy Models",
author = "Abuwardih, {Lina A.} and Wa'Ed Shatnawi and Ahmed Aleroud",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Computer Science and Information Technology, CSIT 2016 ; Conference date: 13-07-2016 Through 14-07-2016",
year = "2016",
month = aug,
day = "23",
doi = "10.1109/CSIT.2016.7549444",
language = "English (US)",
series = "Proceedings - CSIT 2016: 2016 7th International Conference on Computer Science and Information Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - CSIT 2016",
}