%0 Journal Article
%T Diagnosis of Cardiovascular Diseases by Boosted Neural Networks
%A Mehmet Can
%J Southeast Europe Journal of Soft Computing
%D 2013
%I 
%X A boosting by filtering technique for neural network systems with back propagation together with a majority voting scheme is presented in this paper. Previous research with regards to predict the presence of cardiovascular diseases has shown accuracy rates up to 72.9%. Using a boosting by filtering technique prediction accuracy increased over 80%. The designed neural network system in this article presents a significant increase of robustness and it is shown that by majority voting of the parallel networks, recognition rates reach to > 90 in the V.A. Medical Center, Long Beach and Cleveland Clinic Foundation data set.
%K machine learning
%K parallel neural networks
%K boosting by filtering
%K cardiovascular diseases
%U http://www.scjournal.com.ba/index.php/scjournal/article/view/50