The human being leads to an improved lifestyle because of better healthcare facilities, which is possible by practicing “sharing.” Sharing of minimal, necessary Electronic Health Records (EHRs) with legitimate grounds have made it easier for researchers and scientists to apply statistics, develop medicines, and improve healthcare facilities. However, it invites many security and privacy concerns. The data may contain personally identifiable attributes; publishing such data will cause problems. Several studies have been proposed to maintain a balance between privacy and utility, but they were not up-to-the-mark. We propose an improved technique for anonymizing EHR, quasi-identifiers to retain data privacy, and maintains utility while keeping it anonymous. The proposed technique performs anonymization by assigning data into classes, adding uncertainty to it, based on the deviation. Based on experiments, it is concluded that the proposed scheme performs better in terms of privacy, utility and is better to its predecessor while making it difficult to trace back.

中文翻译：

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使用偏差改进了安全性个人数据发布的通用化

人们可以通过改善医疗保健设施来改善生活方式，这可以通过实践“共享”来实现。通过合法理由共享最少的，必要的电子健康记录（EHR），使研究人员和科学家更容易应用统计数据，开发药物并改善医疗保健设施。但是，它引起了许多安全和隐私问题。数据可能包含个人可识别的属性；发布此类数据将导致问题。已经提出了一些研究来保持隐私和实用性之间的平衡，但是这些研究还不是最新的。我们提出了一种改进的技术，用于匿名化EHR，准标识符以保留数据隐私，并在保持匿名的同时保持实用性。所提出的技术通过将数据分配给类来执行匿名化，根据偏差增加不确定性。通过实验可以得出结论，该方案在保密性，实用性方面表现更好，并且比其前身更好，同时又难以回溯。