Journal Press India^®

Author Details ( * ) denotes Corresponding author

Purpose: The objective of this paper is to experiment Decision Support System for Heart Disease Diagnosis Using Neural Network Design/Methodology/Approach: A set of experiments was performed on a sample database of 78 patients' records, 13 input variables (Age, Blood Pressure, Angiography's report etc.) are used for training and testing of the Neural Network. Findings: We therefore conclude that ANN is a fast alternative to classical statistical techniques for prediction and modelling of experimental data. It is believed that neural networks will have extensive application to biomedical problems in the next few years. Research Limitations: This paper was limited to specific patients only. Managerial Implications: Error made by human being can be avoided in this system; hence the system is more reliable and helps the doctor to take correct decision. Originality/Value: The paper provides the original work of authors in the fields of decision support system

Keywords

Decision Support System, Neural Network, Artificial Neural Network

1. Fahlman, S.E. (1988a) “An Empirical Study of Learning Speed in Back Propagation Networks”, Carneige Mellon Report, No CMU-Cs, p.88-162.
2. Fahlman, S.E. (1988b), “Learning Variations of Back Propagation – An Empirical Study”, Proc. of the 1988, Connectionist Models Summer School, Morgan Kaufmann San Mater,CA.
3. Haykin, Simon “Neural Network – A Comprehensive Foundation”, Second Edition, Low Price Edition, p.1-203.
4. Neural Networks, http://www.pcai.com/web/ai_info/neural_nets.html
5. Neural Networks, http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
6. Rajasekaran, S. and Vijayalakshmi Pai, G.A. “Neural Networks, Fuzzy Logic, and Genetic Algorithms Synthesis and Applications” Eastern Economy Edition, PHI, p.1-59.
7. Scholtes, J.C. (1991) “Neural nets and their relevance for information retrieval”, ITLI Prepublication CL University of Amsterdam Institute for Language Logic and Information Department of Computational Linguistics October, p.50-92.
8. Tsoukalas, L.H. and Uhrig, R.E. (1997) “Fuzzy and Neural Approaches in Engineering”, John Wiley & Sons, USA.
9.  Zhang, J. and Moris, A.J. (1998) “A Sequential Learning Approach for Single Hidden Layer Neural Networks”, Neural Networks, Vol.11, No.1, p.65-80.