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

Lina A. Abuwardih, Wa'ed Shatnawi, Ahmed Aleroud
{"title":"Privacy preserving data mining on published data in healthcare: A survey","authors":"Lina A. Abuwardih, Wa'ed Shatnawi, Ahmed Aleroud","doi":"10.1109/CSIT.2016.7549444","DOIUrl":null,"url":null,"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.","PeriodicalId":210905,"journal":{"name":"2016 7th International Conference on Computer Science and Information Technology (CSIT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Computer Science and Information Technology (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT.2016.7549444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
医疗保健中发布数据的隐私保护数据挖掘:一项调查
医疗保健数据被认为对该领域的研究人员非常重要。这些信息的发布必须以隐藏患者身份的方式进行,特别是在处理敏感信息时。发布此类信息使其更容易受到攻击者的攻击。因此,提出了许多技术来保护医疗保健数据的隐私。在本文中,我们说明了用于发布患者数据的模型和技术的调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An ontology for Juz' Amma based on expert knowledge Privacy preserving data mining on published data in healthcare: A survey Metric and rule based automated detection of antipatterns in object-oriented software systems Arabic OCR evaluation tool Emotion estimation from EEG signals during listening to Quran using PSD features
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1