On hybridizing fuzzy min max neural network and firefly algorithm for automated heart disease diagnosis

2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013

Volumn , Issue , 2013, Pages

  Rajakumar, B R ^a   George, Aloysius ^a  

^a Aloy Labs   (India)

Author keywords

Classification; Firefly Algorithm; Fuzzy Min Max Neural Network (FMMN); Heart Diseases; Open Hyperbox; Rule Mining

Indexed keywords

EID: 84894472574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCNT.2013.6726611     Document Type: Conference Paper

References (29)

1. Rajesh Ghongade and Dr. Ashok Ghatol, "A multi-class heartbeat classifier employing hybrid fuzzy-neural network", In IEEE proceedings of International Conference on Intelligent and Advanced Systems, Kuala Lumpur, pp. 18-21, 2007.
2. Mrudula Gudadhe, Kapil Wankhade, Snehlata Dongre, "Decision Support System for Heart Disease based on Support Vector Machine and Artificial Neural Network", In IEEE proceedings of International Conference on Computer &Communication Technology, Allahabad, Uttar Pradesh, pp. 741-745, 2010.
3. Minghao Piao, Heon Gyu Lee, Gyo Yong Sohn, Gouchol Pok and Keun Ho Ryu, "Emerging Patterns Based Methodology for Prediction of Patients with Myocardial Ischemia", In IEEE proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, Tianjin, China, pp. 174-178, 2009.
4. Najmeh Ghadiri Hedeshi and Mohammad Saniee Abadeh, "An Expert System Working Upon an Ensemble PSO-Based Approach for Diagnosis of Coronary Artery Disease", In IEEE proceedings of the 18th Iranian Conference on Bio Medical Engineering, Tehran, Iran, pp. 249-254, 2011.
5. Ali mirza mahmood and Mrithyumjaya Rao Kuppa, "Improving the Efficiency of Biomarker Identification Using Expert Knowledge", In IEEE proceedings of Trendz in Information Sciences &Computing, Chennai, pp. 111-115, 2010
6. Ki-Hyeon Kim and Ho-Jin Choi, "Design of a Clinical Knowledge Base for Heart Disease Detection", In IEEE Proceedings of the Seventh International Conference on Computer and Information Technology, Venice, Italy, pp. 610-615, 2012.
7. T. John Peter and K. Somasundaram, "Study and Development of Novel Feature Selection Framework for Heart Disease Prediction", International Journal of Scientific and Research Publications, Vol. 2, No. 10, pp. 1-7, 2012.
8. K.S. Kavitha, K.V. Ramakrishnan and Manoj Kumar Singh, "Modeling and design of evolutionary neural network for heart disease detection", International Journal of Computer Science Issues, Vol. 7, No. 5, pp. 272-283, 2010.
9. Shradhanjali Rout, "Fuzzy Petri Net Application: Heart Disease Diagnosis", In Proceedings of the International Conference on Computing and Control Engineering, Chennai, India, 2012.
10. Ali Adeli and Mehdi Neshat, "A Fuzzy Expert System for Heart Disease Diagnosis", In Proceedings of the International Multi conference of Engineers and Computer Scientists, Hong Kong, 2010.
11. Hongmei Yan, Jun Zheng, Yingtao Jiang, Chenglin Pengl and Qinghui Li, "Development of a Decision Support System For Heart Disease Diagnosis Using Multilayer Perceptron", In IEEE Proceedings of International Symposium on Circuits and Systems, Bangkok, Thailand, pp. V-709-V-712, 2003.
12. T.John Peter and K. Somasundaram, "An Empirical Study On Prediction Of Heart Disease Using Classification Data Mining Techniques", In IEEE proceedings of International Conference On Advances In Engineering, Science And Management, Nagapattinam, Tamil Nadu, pp. 514-518, 2012
13. Jun Zheng, Yingtao Jiang, Hongmei Yan,"Committee Machines with Ensembles of Multilayer Perceptron for the Support of Diagnosis of Heart Diseases", In IEEE proceedings of International Conference on Communications, Circuits and Systems Proceedings, Guilin, pp. 2046-2050, 2006
14. J. Goddard, I. Lopez and Hugo.L. Rufiner, "Improving The Classification Accuracy Of Cardiac Patients", In IEEE proceedings of the 18th Annual International Conference of Engineering in Medicine and Biology Society, Amsterdam, pp. 2018-2019, 1996.
15. Md. Zakirul Alam Bhuiyan, "An Algorithm for Determining Neural Network Architecture Using Differential Evolution", In IEEE proceedings of International Conference on Business Intelligence and Financial Engineering, Beijing, pp. 3-7, 2009.
16. Fida, Nazir, Naveed and Akram, "Heart disease classification ensemble optimization using Genetic algorithm", In Proceedings of the IEEE 14th International Conference on Multi topic Conference, Karachi, Pakistan, pp. 19-24, 2011.
17. Latha Parthiban and Subramanian, "Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithm", International Journal of Biological and Life Sciences, Vol. 3 No. 3, pp. 157-160, 2008
18. Srinivas, Rao and Govardhan, "Analysis of coronary heart disease and prediction of heart attack in coal mining regions using data mining techniques", In IEEE Proceedings of the 5th International Conference on Computer Science and Education, Hefei, China, pp. 1344-1349, 2010.
19. Anooj, "Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules", Journal of King Saud University-Computer and Information Sciences, Vol. 24, No. 1, pp. 27-40, 2012.
20. Megat Ali, Rani, Jahidin, Saaid and Noor, "Identification of Cardiomyopathy Disease Using Hybrid Multilayered Perceptron Network", In Proceedings of the IEEE International Conference on Control System, Computing and Engineering, Penang, Malaysia, pp. 23-27, 2012.
21. C. Kwak and O.W. Kwon, "Cardiac disorder classification by heart sound signals using murmur likelihood and hidden Markov model state likelihood", International Journal of Signal Processing, Vol. 6, No. 4, pp. 326-334, 2012.
22. Evanthia E. Tripoliti, Dimitrios I. Fotiadis and George Manis, "Automated Diagnosis of Diseases Based on Classification: Dynamic Determination of the Number of Trees in Random Forests Algorithm", IEEE Transactions On Information Technology In Biomedicine, Vol. 16, No. 4, pp. 615-622, 2012.
23. K.Rajeswari, Dr.V.Vaithiyanathan and Dr.P.Amirtharaj, "A Novel Risk Level Classification of Ischemic Heart Disease using Artificial Neural Network Technique-An Indian Case Study", International Journal of Machine Learning and Computing, Vol. 1, No. 3, pp. 231-235, 2011.
24. Gaetano Thiene and Carla Frescura, "Anatomical and pathophysiological classification of congenital heart disease", International Journal of Cardiovascular Pathology, Vol. 19, pp. 259-274, 2010.
25. Resul Das, Ibrahim Turkoglu and Abdulkadir Sengur, "Effective diagnosis of heart disease through neural networks ensembles", International Journal of Expert Systems with Applications, Vol. 36, No. 4, pp. 7675-7680, 2009.
26. Anas Quteishat, Chee Peng Lim and Kay Sin Tan, "A Modified Fuzzy Min-Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification", IEEE Transactions On Systems, Man, And Cybernetics-Part A: Systems And Humans, Vol. 40, No. 3, pp. 641-650, 2010.
27. P. K. Simpson, "Fuzzy min-max neural networks-Part 1: Classification," IEEE Trans. Neural Netw., vol. 3, no. 5, pp. 776-786, Sep. 1992.
28. Goldberg, David (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley Professional. ISBN 978-0201157673.
29. Yang, X. S. (2008). Nature-Inspired Metaheuristic Algorithms. Frome: Luniver Press. ISBN 1-905986-10-6.