Clinical Decision Support System for Privacy Preserving using Information Retrieval
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Ms. Pradnya Kul, Dr. V. S. Bidve
|DOI : 10.14445/22315381/IJETT-V48P258|
Ms. Pradnya Kul, Dr. V. S. Bidve "Clinical Decision Support System for Privacy Preserving using Information Retrieval", International Journal of Engineering Trends and Technology (IJETT), V48(6),326-330 June 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
In this paper, the proposed system is designed which predicts the accurate disease and prevention. Information retrieval techniques are used such as data cleaning, data smoothing, data clustering to get the data required for prediction. To get accurate prediction and prevention of disease K-means algorithm is used in the system. It basically partitions the data into cluster and then finds the result. In addition performance criteria via extensive simulation also demonstrate that the system can effectively calculate patient’s disease risk with high accuracy in privacy preserving way. All this data is stored in cloud with encryption technique. So result for privacy preserving is more accurate.
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Clinical decision Support System, Patient centric, Naive Bayesian classifier, K-means clustering, AWS S3