Abstract
Risk Level Prediction at early stage will significantly reduce the risk of Heart Disease. In this paper a novel intelligent technique is proposed to discover the knowledge about the risk of Heart Disease using Optimized Neural Network. A Feed Forward Neural Network optimized using Genetic Algorithm is used for prediction. The network parameters hidden neurons, momentum factor and learning rate are optimized using Genetic Algorithm and the performance is analyzed for standard heart disease dataset and clinical dataset.The classification results prove that the proposed Genetic Optimized Neural Network highly contribute the physician to diagnosis the disease early by discover the knowledge of risk.
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Chitra, R., Seenivasagam, V. (2013). Knowledge Discovery from Heart Disease Dataset Using Optimized Neural Network. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_43
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DOI: https://doi.org/10.1007/978-3-319-03844-5_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03843-8
Online ISBN: 978-3-319-03844-5
eBook Packages: Computer ScienceComputer Science (R0)