Privacy Enhanced Healthcare Data Management Using Associative Data Mining Approaches

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
N. Duraimutharasan
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引用次数: 0

Abstract

Abstract Hospital medical records with health examination findings can be integrated to assist in uncovering the link between aberrant test results and illness. It is possible to establish a disease-preventive knowledge center using these integrated data by performing associated rule mining on the results. In order to integrate data, sensitive patient information must be shared. Patients’ privacy may be violated by the disclosure of sensitive information. Thus, privacy-preserving associated rule mining in physically partitioned healthcare data is addressed in this article. The suggested technique is further evaluated in terms of data protection, transmission, and computing costs.
使用关联数据挖掘方法增强隐私的医疗保健数据管理
摘要医院的医疗记录与健康检查结果可以整合在一起,以帮助揭示异常检测结果与疾病之间的联系。通过对结果进行关联规则挖掘,可以使用这些集成数据建立疾病预防知识中心。为了整合数据,必须共享敏感的患者信息。披露敏感信息可能会侵犯患者的隐私。因此,本文讨论了物理分区医疗保健数据中的隐私保护关联规则挖掘。建议的技术在数据保护、传输和计算成本方面进行了进一步评估。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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