De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset

• 主要な著者: El Emam, Khaled (著者), Arbuckle, Luk (著者), Koru, Gunes (著者), Eze, Benjamin (著者), Gaudette, Lisa (著者), Neri, Emilio (著者), Rose, Sean (著者), Howard, Jeremy (著者), Gluck, Jonathan (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2012-02-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundThere are many benefits to open datasets. However, privacy concerns have hampered the widespread creation of open health data. There is a dearth of documented methods and case studies for the creation of public-use health data. We describe a new methodology for creating a longitudinal publ...