医疗保健中发布数据的隐私保护数据挖掘:一项调查

2016 7th International Conference on Computer Science and Information Technology (CSIT) Pub Date : 2016-07-13 DOI:10.1109/CSIT.2016.7549444

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

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引用次数: 6

摘要

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。

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

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.

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2016 7th International Conference on Computer Science and Information Technology (CSIT)

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