An Efficient Medical Text Mining in Diseases Diagnoses And its equivalent Data privacy Preservation Policy for Medical Data: A Review

Main Article Content

Miss. Kalyani P. Barabde, Prof. Nitin R. Chopde

Abstract

Healthcare systems use a medical text mining which have been increasingly facilitating health condition monitoring and disease modeling. System works on the Personal Health Information (PHI) of the user. Healthcare system grant users access to range of health information and medical knowledge. Benefit of the system is all the information about disease, precautions and healthcare are store at one place. Unfortunately, delegating both storage and computation to the untreated entity would bring a series of security and privacy issues. One of the controversial issues for PHI is how the technology could threaten the privacy of patient health information. The proposed system focused on fine-grained privacy-preserving static medical text access and analysis, which can hardly afford the dynamic health condition fluctuation.

Article Details

How to Cite
, M. K. P. B. P. N. R. C. (2016). An Efficient Medical Text Mining in Diseases Diagnoses And its equivalent Data privacy Preservation Policy for Medical Data: A Review. International Journal on Recent and Innovation Trends in Computing and Communication, 4(3), 47–50. https://doi.org/10.17762/ijritcc.v4i3.1831
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