Title :
Heart diseases diagnosis using neural network
Author :
Patel, Ankeeta R. ; Joshi, Mandar M.
Author_Institution :
EC Dept., SCET, Surat, India
Abstract :
Neural network based systems have been used in past years in medical diagnosis applications because of their ability to learn human expertise and to utilize this knowledge for segregation. In this paper, neural based system is developed for heart diseases classification. The proposed system transforms sensor inputs to stroke stage classification. Multi layer feed forward network with back propagation learning algorithm is used. With a view to ascertain the efficacy of proposed system, performance is compared to other neural (system) based approaches. Simulation results show robustness of proposed system in all kind of test data given.
Keywords :
backpropagation; cardiology; diseases; medical diagnostic computing; multilayer perceptrons; backpropagation learning; heart diseases classification; heart diseases diagnosis; medical diagnosis application; multilayer feedforward network; neural based system; neural network; stroke stage classification; Diseases; Heart; Medical diagnostic imaging; Neural networks; Simulation; Standards; Training; Supervised learning; classification; neural network; normalization;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726740
