Artificial Neural Network Model for the Prediction of Thrombo - embolic Stroke
نویسنده
چکیده
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 exhibits good performance in the prediction of stroke disease in general.
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