Title :
Privacy-preserving range set union for rare cases in healthcare data
Author :
Chun, J.Y. ; Lee, D.H. ; Jeong, I.R.
Author_Institution :
Grad. Sch. of Inf. Security, Korea Univ., Seoul, South Korea
Abstract :
Hospitals have to use a large amount of medical data from individuals while protecting their privacy to execute medical data mining. It is important to find `rare` cases among medical data of individuals in many healthcare applications. Therefore hospitals need privacy-preserving mining techniques to find rare cases among medical data of individuals. However, previous privacy-preserving data-mining techniques cannot be used to find rare cases. In this study, they suggest a privacy-preserving `range set union` protocol that can be used to find rare cases in the private medical datasets of individuals.
Keywords :
data mining; data privacy; health care; hospitals; medical computing; healthcare data; hospital; medical data mining; privacy protection; privacy-preserving data mining; privacy-preserving range set union; range set union protocol;
Journal_Title :
Communications, IET
DOI :
10.1049/iet-com.2011.0108