[1] Gudadhe, M., Wankhade, K. and Dongre, S. (2010) Decision Support System for Heart Disease based on Support Vector Machine and Artificial Neural Network. IEEE International Conference on Computer and Communication Technology, Allahabad, 17-19 September 2010, 741-745.
[2] Yan, H.M., Jiang, Y.T., Zheng, J., Peng, C.L. and Li, Q.H. (2006) A Multilayer Perceptron-Based Medical Decision Support System for Heart Disease Diagnosis. Expert Systems with Applications, 30, 272-281. http://dx.doi.org/10.1016/j.eswa.2005.07.022
[3] Palaniappan, S. and Awang, R. (2008) Intelligent Heart Disease Prediction System Using Data Mining Techniques. International Journal of Computer Science and Network Security, 8, 343-350.
[4] Wu, R., Peters, W. and Morgan, M.W. (2002) The Next Generation Clinical Decision Support: Linking Evidence to Best Practice. Journal Healthcare Information Management, 16, 50-55.
[5] Adeli, A. and Neshat, M. (2010) A Fuzzy Expert System for Heart Disease Diagnosis. Proceedings of the International Multiconference of Engineers and Computer Scientists, Hong Kong, 17-19 March 2010.
[6] Sivanandam, S.N., Sumathi, S. and Deepa, S.N. (2006) Introduction to Neural Networks Using MATLAB 6.0. McGraw-Hill Education, New York City.
[7] Kahramanli, H. and Allahverdi, N. (2008) Design of a Hybrid System for the Diabetes and Heart Diseases. Expert Systems with Applications, 35, 82-89.
http://dx.doi.org/10.1016/j.eswa.2007.06.004
[8] Das, R., Turkoglu, I. and Sengur, A. (2009) Effective Diagnosis of Heart Disease through Neural Networks Ensembles. Expert Systems with Applications, 36, 7675-7680.
http://dx.doi.org/10.1016/j.eswa.2008.09.013
[9] Allahverdi, N., Torun, S. and Saritas, I. (2007) Design of a Fuzzy Expert System Determination of Coronary Heart Disease Risk. Proceedings of International Conference on Computer Systems and Technologies, Rousse, June 14-15 2007, 1-8.
[10] Lisboa, P.J. (2002) A Review of Evidence of Health Benefit from Artificial Neural Networks in Medical Intervention. Neural Networks, 15, 11-39. http://dx.doi.org/10.1016/S0893-6080(01)00111-3
[11] Fuller, R. (1995) Neural Fuzzy Systems. Abo Akademi University, Turku.
[12] Tung, W.L. and Quek, C. (2002) GenSoFNN: A Generic Self-Organizing Fuzzy Neural Network. Proceedings of IEEE Transactions on Neural Networks Conference, 13, 1075-1086.
[13] Alhanafy, T.E., Zaghlool, F. and El Din Moustafa, A.S. (2010) Neuro-Fuzzy Modeling Scheme for the Prediction of Air Pollution. Journal of American Science, 6, 605-616.
[14] Jang, J.S.R. (1993) ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Transactions on Systems, Man, and Cybernetics, 23, 665-685. http://dx.doi.org/10.1109/21.256541
[15] KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problem.
http://sci2s.ugr.es/keel/dataset.php?cod=57
[16] Trewartha, D. (2006) Investigating Data Mining in MATLAB. Bachelor Dissertation, Department of Science, Rhodes University, Grahamstown.
[17] Harrison, R. (2000) Decision Support Technique Developed in MATLAB Improves the Accuracy of Medical Diagnoses. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield.
[18] Zhao, L., Zheng, X.Q. and Wang, S.Q. (2008) Design and Implementation of Spatial Data Mining System (M-SDM) Based on MATLAB. Journal of Computers, 3, 66-70.
[19] Gan, G.J., Ma, C.Q. and Wu, J.H. (2007) Data Clustering: Theory, Algorithms and Applications. ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria.