Analytical Approach for Privacy Preserving of Medical Data

Vaibhav Lawand, Prathik Sargar, Anand Bhalerao, Pradip Jadhav
2015 International Journal of Engineering Research and  
E-Science is getting more collaborative and distributed hence the data privacy of these digitalized big data is a important task, especially when the data is personal, confidential and contains sensitive information like patient's mental health records, psychotherapy notes and human behavior records etc. Medical health records are integral to self managed healthcare are applicable but when it comes to patient access it become a serious concern that requires a better balance for personalization,
more » ... information care, security controls and privacy protection of individual data. For privacy management, existing policies are too restrictive and there is not much privacy aware data analysis research, for supporting of big data analysis. Thus there is need of analyzing the large variety, variation, velocity and volume of data. However, increased accessibility of highly sensitive mental records threatens the privacy and confidentiality of patient's records. In this paper we are describing the data analysis processes as workflows for medical data. We describe the workflow for privacy aware data analysis in mental health research and develop a analytical approach for privacy preserving of medical data to address these concerns.
doi:10.17577/ijertv4is100466 fatcat:po5yirpcira4ferp4vfyi2u6dq