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Comparative Analysis of Various Classification and Clustering Algorithms for Heart Disease Prediction System
Abstract
Medical science industry has huge amount of data, but unfortunately most of this data is not mined to find out hidden information in data. Advanced data mining techniques can be used to discover hidden pattern in data. These techniques will be useful for medical practitioners to take effective decision. In this research paper, data mining classification techniques RIPPER classifier, Decision tree, Artificial Neural Network (ANN), Naive Bayes, Support Vector Machine (SVM), are analyzed on heart disease dataset. Performance of these techniques is compared through sensitivity, specificity, Accuracy, true positive Rate and False positive Rate. This analysis shows that out of these five classification techniques methods SVM predicts highest accuracy, Specificity, Sensitivity. And it’s also gives the better result on True positive Rate is high False and positive Rate is low.
References
HianChyeKoh and Gerald Tan, ―Data Mining Applications in Healthcare‖, journal of Healthcare Information Management – Vol 19, No 2.
JayanthiRanjan, ―Applications of data mining techniques in pharmaceutical industry‖, Journal of Theoretical and Applied Technology, (2007).
M.Durairaj, K.Meena, ―A Hybrid Prediction System Using Rough Sets and Artificial Neural Networks‖, International Journal Of Innovative Technology & Creative Engineering (ISSN: 2045-8711) VOL.1 NO.7 JULY 2011.
K. Srinivas , B. Kavitha Rani and Dr. A. Govrdhan, ―Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacks‖ International Journal on Computer Science and Engineering (2010).
ShwetaKharya, ―Using Data Mining Techniques ForDiagnosis And Prognosis Of Cancer Disease‖, International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.2, April 2012.
EliasLemuye, ―Hiv Status Predictive Modeling Using Data Mining Technology.
Arvind Sharma and P.C. Gupta ―Predicting the Number of Blood Donors through their Age and Blood Group by using Data Mining Tool‖ International Journal of Communication and Computer Technologies Volume 01 – No.6, Issue: 02 September 2012.
J.-C. Hsieh and M.-W. Hsu, “A cloud computing based 12-lead ECG telemedicine service,” BMC Med. Informat. Decision Making, vol. 12, no. 77, pp. 1–12, 2012.
Mai Shouman, Tim Turner, and Rob Stocker “Using Data Mining Technique in Heart Disease Diagnosis and Treatment”, 2012 JapanEgypt Conference on Electronics, Communications and Computers ISSN:978-1-4673-0484-9/ IEEE,pp.173-177,2012. 3
Dhanashree S. Medhekar, Mayur P. Bote,Shruti D. Deshmukh “HeartDisease Prediction System using Naïve Bayes”, International Journal of Enhanced Research In ScienceTechnology&Engineering,Vol.2,ISSN:2319-7463,pp.1-5,2013
VikasChaurasia and Saurabh Pal “Data Mining Approach to Detect Heart Dieses”, International Journal of Advanced Computer Science and Information Technology (IJACSIT) Vol. 2, No. 4,ISSN: 2296-1739,pp.56-66,2013.
Kala John Kappiarukudil and ManeeshaVinodini Ramesh “Real-Time Monitoring and Detection of ‘‘Heart Attack’’ Using Wireless Sensor Networks”, 2010 Fourth International Conference on Sensor Technologies and Applications ISSN:978-0-7695-40962/10IEEE,2010.
Mai Shouman, Tim Turner, and Rob Stocker “Using Data Mining Technique in Heart Disease Diagnosis and Treatment”, 2012 Japan-Egypt Conference on Electronics, Communications and Computers 978-1-4673-0484-9/12@ 2012 IEEE.pp.173-177
Dhanashree S. Medhekar, Mayur P. Bote,Shruti D. Deshmukh “HeartDisease Prediction System using Naïve Bayes”, International Journal of Enhanced Research In ScienceTechnology&Engineering, ISSN NO: 2319-7463 VOL. 2 ISSUE 3, MARCH.-2013.pp.1-5
Vikas Chaurasia and Saurabh Pal “Data Mining Approach to Detect Heart Dieses”, International Journal of Advanced Computer Science and Information Technology (IJACSIT) Vol. 2, No. 4, 2013, Page: 56-66, ISSN: 2296-1739.
Vikas Chaurasia and Saurabh Pal “Early Prediction of Heart Diseases Using Data Mining Techniques”, Caribbean Journal of Science and Technology, 2013, ISSN 0799-3757, Vol.1, pp.208-217.
Mrs.G.Subbalakshmi “Decision Support in Heart Disease Prediction System usingNaive Bayes”, Indian Journal of Computer Science and Engineering (IJCSE) ISSN: 0976-5166, Vol. 2 No. 2 Apr-May 2011, pp.170-176.
Deepali Chandna“Diagnosis of Heart Disease Using Data Mining Algorithm”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014, pp.1678-1680.
Kala John Kappiarukudil and Maneesha Vinodini Ramesh “Real- Time Monitoring and Detection of ‘‘Heart Attack’’ Using Wireless Sensor Networks”, 2010 Fourth International Conference on Sensor Technologies and Applications 978-0- 7695-4096-2/10@ 2010 IEEE.
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