Personal Health Information Leak Prevention in Heterogeneous Texts

Abstract

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.