Artificial Neural Network for intelligent medical diagnoses has been sho wn to be an interesting topic. In this paper we have used a neural network technique to predict a system, which can detect heart disease from their physical symptoms. We have used a prediction method with the help of the back propagation algorithm to train the net works. The actual procedure of medical diagnosis that usually is employed by physicians was analyzed and converted to a computer program implemented format. After selecting some sympto ms a data set contains the information of fifty two cases was configured and applied to a M L P neural network
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机译:用于智能医疗诊断的人工神经网络已成为一个有趣的话题。在本文中,我们使用了神经网络技术来预测系统,该系统可以根据其身体症状来检测心脏病。我们已经使用了一种预测方法,借助反向传播算法来训练网络。分析了医生通常采用的实际医学诊断程序,并将其转换为计算机程序实现的格式。选择一些症状后,配置了包含52种情况的信息的数据集,并将其应用于M L P神经网络
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