Corpus ID: 15675221

Designing an Artificial Neural Network Model for the Prediction of Thromboembolic Stroke

  title={Designing an Artificial Neural Network Model for the Prediction of Thromboembolic Stroke},
  author={D. Shanthi and G. Sahoo and S. Saravanan},
  • D. Shanthi, G. Sahoo, S. Saravanan
  • Published 2004
  • Medicine
  • In this study, a functional model of ANN is proposed to aid existing diagnosis methods. This work investigated the use of Artificial Neural Networks (ANN) in predicting the Thrombo-embolic stroke disease. The Backpropogation algorithm was used to train the ANN architecture and the same has been tested for the various categories of stroke disease. This research work demonstrates that the ANN based prediction of stroke disease improves the diagnosis accuracy with higher consistency. This ANN… CONTINUE READING
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