Privacy-preserving data cube for electronic medical records: An experimental evaluation

详细信息    查看全文

• 作者：Soohyung Kim^a ; ^{soohyung@korea.ac.kr} ; Hyukki Lee^b ; ^{hyukki@korea.ac.kr} ; Yon Dohn Chung^b ; ^{ydchung@korea.ac.kr}
• 关键词：Electronic medical records ; Data cube ; Medical privacy ; Anonymization
• 刊名：International Journal of Medical Informatics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：97
• 期：Complete
• 页码：33-42
• 全文大小：1371 K
• 卷排序：97

文摘

An EMR data cube is a complex of EMR statistics and has great potential for medical researches. There is a need to anonymize EMRs because they may lead to privacy violations. Various anonymization methods perform differently in terms of the efficiency and effectiveness of the data cube. This study assesses privacy-preserving EMR data cubes anonymized by the various methods. Our findings help to adopt the best anonymization method with consideration for the EMR analysis environment and goal of the EMR analysis.