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Title: :  Survey: Techniques Of Data Mining For Clinical Decision Support System
PaperId: :  1571
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 1 2016
DUI:    16.0415/IJARIIE-1571
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Manodnya Arvind ShitoleAmruthvahini Colege Of Engineering
Manoj WakchaureAmruthvahini Colege Of Engineering

Abstract

Data Mining
Privacy-preserving, cryptography, patient-centric, clinical decision support system, etc
Clinical decision support system, which uses advanced data mining techniques access as well store data on server. The advantages of clinical decision support system include not only providing diagnosis accuracy but also minimize diagnosis time .Typically, with large amounts of clinical data generated every day, naive Bayesian classification can be utilized to formed valuable information to improve clinical decision support system. The Clinical Decision support system is very flourishing but it also having some critical problems. I propose a new privacy-preserving patient-centric clinical decision support system, which helps clinician complementary to diagnose the risk of patients’ disease in a privacy-preserving way. Also , the past patients’ historical data are stored in cloud and can be used to train the naive Bayesian classifier without leaking any individual patient medical data, and then the trained classifier can be applied to determine the disease risk for new coming patients and top-k disease names are also extracted from their according to the own preferences, which is provided for protecting the privacy of past patients’ historical data, a new cryptographic tool called additive homomorphism proxy aggregation scheme is designed. Moreover, to leverage the leakage of na¨ıve Bayesian classifier, we introduce a privacy-preserving top-k disease names retrieval protocol in our system. The privacy analysis gives security t the patient information and will not be leaked out at the time of disease diagnosis phase. This can be concluding that our system can efficiently calculate patient’s disease risk with high accuracy in a privacy-preserving way.

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IJARIIE Manodnya Arvind Shitole, and Manoj Wakchaure. "Survey: Techniques Of Data Mining For Clinical Decision Support System" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 1 2016 Page 459-462
MLA Manodnya Arvind Shitole, and Manoj Wakchaure. "Survey: Techniques Of Data Mining For Clinical Decision Support System." International Journal Of Advance Research And Innovative Ideas In Education 2.1(2016) : 459-462.
APA Manodnya Arvind Shitole, & Manoj Wakchaure. (2016). Survey: Techniques Of Data Mining For Clinical Decision Support System. International Journal Of Advance Research And Innovative Ideas In Education, 2(1), 459-462.
Chicago Manodnya Arvind Shitole, and Manoj Wakchaure. "Survey: Techniques Of Data Mining For Clinical Decision Support System." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 1 (2016) : 459-462.
Oxford Manodnya Arvind Shitole, and Manoj Wakchaure. 'Survey: Techniques Of Data Mining For Clinical Decision Support System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 1, 2016, p. 459-462. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Survey__Techniques_Of_Data_Mining_For_Clinical_Decision_Support_System_ijariie1571.pdf (Accessed : 15 July 2023).
Harvard Manodnya Arvind Shitole, and Manoj Wakchaure. (2016) 'Survey: Techniques Of Data Mining For Clinical Decision Support System', International Journal Of Advance Research And Innovative Ideas In Education, 2(1), pp. 459-462IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Survey__Techniques_Of_Data_Mining_For_Clinical_Decision_Support_System_ijariie1571.pdf (Accessed : 15 July 2023)
IEEE Manodnya Arvind Shitole, and Manoj Wakchaure, "Survey: Techniques Of Data Mining For Clinical Decision Support System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 1, pp. 459-462, Jan-Feb 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Survey__Techniques_Of_Data_Mining_For_Clinical_Decision_Support_System_ijariie1571.pdf [Accessed : 15 July 2023].
Turabian Manodnya Arvind Shitole, and Manoj Wakchaure. "Survey: Techniques Of Data Mining For Clinical Decision Support System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 1 (15 July 2023).
Vancouver Manodnya Arvind Shitole, and Manoj Wakchaure. Survey: Techniques Of Data Mining For Clinical Decision Support System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 15 July 2023]; 2(1) : 459-462. Available from: https://ijariie.com/AdminUploadPdf/Survey__Techniques_Of_Data_Mining_For_Clinical_Decision_Support_System_ijariie1571.pdf
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