A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Intelligent Diagnosis of Heart Diseases using Neural Network Approach
2010
International Journal of Computer Applications
Experiments with the Switzerland Heart Disease database have concentrated on attempting to distinguish presence and absence. The classifiers based on various neural networks, namely, MLP, PCA, Jordan, GFF, Modular, RBF, SOFM, SVM NNs and conventional statistical techniques such as DA and CART are optimally designed, thoroughly examined and performance measures are compared in this study. With chosen optimal parameters of MLP NN, when it is trained and tested over cross validation (unseen data
doi:10.5120/31-140
fatcat:ml5pcekb55ablgwtrvm6x3jghu