On privacy-preserving publishing of spontaneous ADE reporting data
Wen-Yang Lin, Duan-Chun Yang · 2013
In this paper, we present the problem of and research issues for anonymizing spontaneous ADE reporting data for privacy-preserving ADR signal detection. Three main characteristics of spontaneous ADE data are identified, including rare ADE events, multiple individual records, and no sensitive attribute but having quasi-sensitive attributes. We examine the feasibility of contemporary privacy-preserving models for anonymizing SRS datasets, showing their incompetence in handling the these issues and so arouse the need of new privacy models and data anonymizing methods.