Title :
Clinical decision support system based on Jordan/Elman neural networks
Author :
Kharat, P.A. ; Dudul, S.V.
Author_Institution :
Deptt. of Inf. Technol., Anuradha Eng. Coll., Chikhli, India
Abstract :
Epilepsy is a common neurological disorder that is characterized by recurrent unprovoked seizures. About 40 to 50 million people worldwide have epilepsy. In this paper the authors present clinical decision support system (DSS) for the diagnosis of epilepsy. The validity of neural network to diagnose the epilepsy is checked and the most suitable neural network is recommended for the diagnosis of epilepsy. Three different diagnosis of Normal, Epileptic (interictal) and Epileptic (ictal), where estimated by a neural network. The results showed that we were able to achieve 100% results for testing data by using Jordan/Elman neural network.
Keywords :
decision support systems; medical diagnostic computing; medical disorders; neural nets; patient diagnosis; Jordan-Elman neural networks; clinical decision support system; epilepsy diagnosis; interictal diagnosis; neurological disorder; normal diagnosis; recurrent unprovoked seizures; Accuracy; Decision support systems; Electroencephalography; Epilepsy; Sensitivity; Testing; Training; Electroencephalogram (EEG); Epilepsy; Jordan/Elman Neural Network (JENN); Seizure;
Conference_Titel :
Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4244-9478-1
DOI :
10.1109/RAICS.2011.6069313
