Intelligent privacy preservation electronic health record framework using soft computing

Abstract

With the recent advancements in the technology, the biggest challenges are to protect the important sensitive data of electronic health records that are available over web. The real issues on EHRs to hide the sensitive huge data especially stored in distributed environment, and shared between numbers of stakeholders. It is an essential condition to eliminate the superfluous data and maintains the privacy of individual record stored in EHRs. An efficient mechanism is required to apply for privacy preservation on EHRs before it is disclosed to the public domain. The perturbation techniques are used to hide the data from unauthorized person for the security and privacy of a patient’s personal and sensitive information in electronic health records system. In this paper we propose a privacy preservation of electronic health records (PPEHR) framework to hide sensitive information using combination of fuzzy logic and perturbation association rules. In this framework, the privacy preservation is being tested using soft computing. Experimental results are demonstrated and verified with the help of machine learning algorithms.