Heart diseases diagnosis using neural network

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.