Implementation on Health Care Database Mining in Outsourced Database

Main Article Content

Monali Gainkar, Sonali Bodkhe

Abstract

Due to the EMR (Electronic Medical Record) system there will be a rapid growth in health data collection. As we have already discuss in previous review paper the different work of the health care data record for maintaining the privacy and security of health care most private data. Now in this paper we are going to implement sheltered and secretive data management structure that addresses both the sheltered and secretive issues in the managementor organization of medical datainoutsourceddatabases. Theproposed framework will assure the security of data by using semantically secure encryption schemes to keep data encrypted in outsourced databases. The framework also provides a differentially-private query or uncertainty interface that can support a number of SQL queries and complicated data mining responsibilities. We are using a multiparty algorithm for this purpose. So that all the purpose is to make a secure and private management system for medical data or record storage and accesses.

Article Details

How to Cite
, M. G. S. B. (2017). Implementation on Health Care Database Mining in Outsourced Database. International Journal on Recent and Innovation Trends in Computing and Communication, 5(6), 1422–1427. https://doi.org/10.17762/ijritcc.v5i6.968
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