Personal Health Information Leak Prevention in Heterogeneous Texts

نویسندگان

  • Marina Sokolova
  • Khaled El Emam
  • Sean Rose
  • Sadrul Chowdhury
  • Emilio Neri
  • Elizabeth Jonker
  • Liam Peyton
چکیده

We built a system which prevents leaks of personal health information inadvertently disclosed in heterogeneous text data . The system works with free-form texts. We empirically tested the system on files gathered from peer-to-peer file exchange networks. This study presents our text analysis apparatus. We discuss adaptation of lexical sources used in medical, scientific, domain for analysis of personal health information.

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تاریخ انتشار 2010