Prediction of heart disease using multilayer perceptron neural network

2014 International Conference on Information Communication and Embedded Systems, ICICES 2014

Volumn , Issue , 2015, Pages

  Sonawane, Jayshril S ^a   Patil, D R ^a  

^a R C PATEL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

back propagation; Cleveland heart disease database; heart disease; machine learning; multilayer perceptron

Indexed keywords

AUTOMATION; BACKPROPAGATION ALGORITHMS; CARDIOLOGY; DIAGNOSIS; EMBEDDED SYSTEMS; FORECASTING; HEART; LEARNING SYSTEMS; MACHINE LEARNING; MEDICAL INFORMATION SYSTEMS; MULTILAYER NEURAL NETWORKS; MULTILAYERS;

AUTOMATED SYSTEMS; CLINICAL FEATURES; HEART DISEASE; MEDICAL PRACTITIONER; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; PATHOLOGICAL DATA; PREDICTION OF HEART DISEASE; PREDICTION SYSTEMS;

DISEASES;

EID: 84925309287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICES.2014.7033860     Document Type: Conference Paper

References (17)

1. "Medline plus: Heart diseases", http://www.nlm.nih.gov/medlineplus/heartdiseases.html.
2. A. Rajkumar and G. S. Reena, "Diagnosis of heart disease using datamining algorithm", Global Journal of Computer Science and Technology, vol. 10, pp. 38-43, December 2010.
3. G E. Sakr, I. Elhajj, and H. Huijer, "Support vector machines to define and detect agitation transition", IEEE Transactions On Affective Computing, vol. 1, pp. 98-108, December 2010.
4. A. Angari, and A. Sahakian, "Automated recognition of obstructive sleep apnea syndrome using support vector machine classifier", IEEE Transactions On Information Technology In Biomedicine, vol. 16, pp. 463-468, May 2012.
5. S. Ghumbre, C. Patil, and A. Ghatol, "Heart disease diagnosis using support vector machine", In proceedings of International Conference on Computer Science and Information Technology (ICCSIT), pp. 84-88, December 2011.
6. D. Y. Tsai and S. Watanabe, "Method for optimization of fuzzy reasoning by genetic algorithms and is application to discrimination of myocardial heart disease", In proceedings of IEEE Nuclear Science Symposium and Medica1 Imaging Conference (NSSMIC), pp. 2239-2246, December 1966.
7. M. Anbarasi, E. Anupriya, and N. Iyengar, "Enhanced prediction of heart disease with feature subset selection using genetic algorithm", International Journal of Engineering Science and Technology, vol. 2, pp. 5370-5376, November 2010.
8. C. L. Huang and C. J. Wang, "A ga-based feature selection and parameters optimization for support vector machines", Expert Systems with Applications, vol. 31, pp. 231-240, October 2006.
9. W. G. Baxt, "Application of artificial neural networks to clinical medicine", Lancet, vol. 346, pp. 1135-1138, October 1995.
10. N. Kumaravel, K. Sridhar, and N. Nithiyanandam, "Automatic diagnoses of heart diseases using neural network", In Proceedings of the Fifteenth Biomedical Engineering Conference, pp. 319-322, March 1996.
11. M. Gudadhe, K. Wankhade, and S. Dongre, "Decision support system for heart disease based on support vector machine and artificial neural network", In proceedings of IEEE International Conference on Computer and Communication Technology (ICCCT), pp. 741-745, November 2010.
12. "Dtreg", http://www.dtreg.com/mlfn. htm.
13. S. N. Sivanandam and S. N. Deepa, "Principles of soft computing", Wiley India Edition, 2007.
14. UCI, "Uci machine learning repository: Heart disease data set", http://archive.ics.uci.edu/ml/datasets/Heart+Disease.html.
15. I. Dessai, "Intelligent heart disease prediction system using probablistic neural network", International Journal of Advanced Computer Theory and Engineering, vol. 2, pp. 38-44, August 2013.
16. Sunila, P. Panday, and N. Godara, "Decision support system for cardivascular heart disease diagnosis using improved multilayer perceptron", International Journal of Computer Application, vol. 45, pp. 12-20, May 2012.
17. M. K. Awang and F. Siraj, "Utilization of an artificial neural network in the prediction of heart disease", International Journal of Bio-Science and Bio-Technology, vol. 5, pp. 159-166, August 2013.