Clinical decision support system based on Jordan/Elman neural networks

2011 IEEE Recent Advances in Intelligent Computational Systems Pub Date : 2011-11-03 DOI:10.1109/RAICS.2011.6069313

P. Kharat, Dr. Sanjay Vasant Dudul

引用次数: 5

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

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基于Jordan/Elman神经网络的临床决策支持系统

癫痫是一种常见的神经系统疾病，其特点是反复发作。全世界约有4000万至5000万人患有癫痫。本文介绍了一种用于癫痫诊断的临床决策支持系统(DSS)。检验神经网络诊断癫痫的有效性，并推荐最适合的神经网络用于癫痫的诊断。三种不同的诊断正常，癫痫(间歇)和癫痫(间歇)，其中由神经网络估计。结果表明，使用Jordan/Elman神经网络对测试数据的准确率达到100%

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 IEEE Recent Advances in Intelligent Computational Systems

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