Knowledge Discovery from Heart Disease Dataset Using Optimized Neural Network

  • R. Chitra
  • V. Seenivasagam
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8284)


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.


Genetic Algorithm Neural Network Risk Level Prediction Optimization Heart Disease 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • R. Chitra
    • 1
  • V. Seenivasagam
    • 2
  1. 1.Department of Computer Science and EngineeringNoorul Islam Centre for Higher EducationKanyakumari DistrictIndia
  2. 2.Department of Computer Science and EngineeringNational Engineering CollegeThoothukudi DistrictIndia

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