Evaluation of the Anonymity and Utility of De-Identified Clinical Data Based on Japanese Anonymization Criteria

摘要：

　　We analyze the deterioration of clinical data quality due to anonymization.The result shows that data quality remained high with micro-aggregation and also verify the availability of noise addition to prevent illegal re-identification by matching another personal data.

关键词： Confidentiality Anonymization Privacy Preserving Data

作者: Eizen Kimura Satoshi Hasegawa Koji Chida Shoko Gamo Satoshi Irino Haku Ishida Yukio Kurihara

作者单位: Department of Medical Informatics,Ehime University Graduate School of Medicine,Touon,Ehime,Japan NTT Secure Platform Laboratories,Musashino,Tokyo,Japan Department of Nursing,Ehime Pref.University of Health Sciences,Tobe,Ehime,Japan Department of Medical Informatics & Decision Sciences,Yamaguchi University,Ube,Yamaguchi,Japan Division of Health Informatics,Medical School,Kochi University,Kyoto,Kyoto,Japan

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1303-1303

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）