Ontology Based Congenital Heart Disease Diagnosis Using Neural Networks
نویسنده
چکیده
Congenital Heart Disease is one of the major causes of deaths in children. However, a proper diagnosis at an early stage can result in significant life saving. Unfortunately, all the physicians are not equally skilled, which can cause for time delay, inaccuracy of the diagnosis. A system for automated medical diagnosis would enhance the accuracy of the diagnosis and reduce the cost effects. In the present paper, a Decision Support System and Ontology approach has been proposed for diagnosis of Congenital Heart Disease. The proposed system is designed and developed by using MATLAB’s GUI feature with the implementation of Back propagation Neural Network. The Back propagation Neural Network used in this study is a multi layered Feed Forward Neural Network, which is trained by a supervised Data Learning Rule.
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