Heart Attack Prediction Using Data Mining Classification Techniques: A Study
Keywords:
Prediction, Classification, Data Diagnosis, Heart Attack, Symptoms.Abstract
Classifications is one of the important data mining techniques. In we construct model to describe data classes. The derived model used training data set. New and better techniques are developed for data mining and to discover unknown pattern form historical data. Some of these Models are useful for medical practitioners to take better and successful decision. Heart attack is one of the important problems in medical science. Early predicting heart attack symptoms are an important issue. In this paper we represent comparative study over various data mining classification techniques like Neural Network Decision Tree, Bayesian Classification, and Classification by back propagation, Support Vector Machines (SVM), k-Nearest Neighbor and Genetic Algorithms (GA).
References
[1] Divya Tomar and Sonali Agarwal “ A survey on Data Mining approaches for Healthcare” International Journal of Bio-Science and Bio-Technology Vol.5, No.5 (2013), pp. 241-266.
[2] Bangaru Veera Balaji and Vedula Venkateswara Rao “Improved Classification Based Association Rule Mining” International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 5, May 2013
[3] V. Krishnaiah and Dr. G. Narsimha proposed ” Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques ” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 4 (1) 2013, 39 – 45
[4] Shamsher Bahadur Patel, Pramod Kumar Yadav and Dr. D. P.Shukla “ Predict the Diagnosis of Heart Disease Patients Using Classification Mining Techniques” IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) e-ISSN: 2319-2380, p-ISSN: 2319-2372. Volume 4, Issue 2 (Jul. - Aug. 2013),
[5] N. Suneetha ,Ch.V.M.K.Hari and Sunil Kumar ” Modified Gini Index Classification: A Case Study Of Heart Disease Dataset” (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 06, 2010, 1959-1965
[6] Jyoti Soni, Uzma Ansari, Dipesh Sharma and Sunita Soni “Intelligent and Effective Heart Disease Prediction System using Weighted Associative Classifiers” Jyoti Soni et al. / International Journal on Computer Science and Engineering (IJCSE) ISSN : 0975-3397 Vol. 3 No. 6 June 2011
[7] Sunita Soni and O.P.Vyas Using Associative Classifiers for Predictive Analysis in Health Care Data Mining “International Journal of Computer Applications (0975 – 8887) Volume 4 – No.5, July 2010
[8] Mai Shouman, Tim Turner, Rob Stocker “Using Decision Tree for Diagnosing Heart Disease Patients” Proceedings of the 9-th Australasian Data Mining
Conference (AusDM'11), Ballarat, Australia [9] M. Akhil jabbar, Dr B.L Deekshatulu and Dr Priti Chandra ” Heart Disease Classification Using Nearest Neighbor Classifier With Feature Subset Selection” Computer Science and Telecommunications 2013|No.3(39)
[10] Sunita Soni and O.P.Vyas “Fuzzy Weighted Associative Classifier: A Predictive Technique For Health Care Data Mining” International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.1, February 2012
[11] Chaitrali S. Dangare and Sulabha S. Apte, PhD. “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques” International Journal of Computer Applications (0975 – 888) Volume 47– No.10, June 2012
[12] M. Akhil Jabbar, B.L Deekshatulu & Priti Chandra “Classification of Heart Disease using Artificial Neural Network and Feature Subset Selection” Global Journal of Computer Science and Technology Neural & Artificial Intelligence Volume 13 Issue 3 Version 1.0 Year 2013 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350
[13] N S Nithya and K Duraiswamy Gain ratio based fuzzy weighted association rule mining classifier for medical diagnostic interface Vol. 39, Part 1, February 2014,
pp. 39–52. Indian Academy of Sciences [14] M.Akhil jabbar, Dr.Priti Chandrab , Dr.B.L Deekshatuluc “Heart Disease Prediction System using Associative Classification and Genetic Algorithm” International Conference on Emerging Trends in Electrical, Electronics and Communication Technologies-ICECIT, 2012
[15] A. Anushya and A. Pethalakshmi “A Comparative Study of Fuzzy Classifiers With Genetic On Heart Data” International Conference on Advancement in Engineering Studies & Technology, ISBN : 978-93-81693-72-8, 15th JULY, 2012, Puducherry
