| 神经网络在心肌梗塞诊断中的应用 |
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| 引用本文： | 张少仲,黄崙,马逸,冯英浚!博士导师.神经网络在心肌梗塞诊断中的应用[J].北华大学学报(自然科学版),1998(1). |
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| 作者姓名： | 张少仲 黄崙 马逸 冯英浚!博士导师 |
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| 作者单位： | 哈尔滨工业大学应用数学所!哈尔滨150001博士生，吉林市中心医院心内科，吉林市中心医院心内科 |
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| 摘 要： | 目的：研究神经网络技术在心肌梗塞诊断中的应用。方法：使用改进的网络训练算法－ＳＰＤＳ方法，对前馈型神经网络进行训练，样本取自实际临床和一些具有权威性的刊物中，形成针对心肌梗塞诊断的神经网络系统，结果：用实际临床已确诊的１００例病例进行检验，诊断的敏感性为９０％，特异性为１００％，诊断准确性为７５％。结论：同目前实际临床的情况相比，结果良好，展现了神经网络技术用于医学诊断的良好前景。
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| 关 键 词： | 神经网络 反传算法 心肌梗塞 诊断 |
The application of the neural network in the diagnosis of myocardial infarction |
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| Zhang Shaozhong,Huang Lun,Ma Yi,Feng Yingjun.The application of the neural network in the diagnosis of myocardial infarction[J].Journal of Beihua University(Natural Science),1998(1). |
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| Authors: | Zhang Shaozhong Huang Lun Ma Yi Feng Yingjun |
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| Abstract: | Objectlve:To study the application of the neural network to diagnose myocardial infarction. Method: Using the improved training algorithm-SPDS al- gorithm to train the feedforward neural network, we got the samples from the clinical cases, and form the neural network system of the diagnosis of myocardial in- farction. Result:Tested by the diagnostic cases in clinical, sensitivity is 90%; the specificity is 100%; the exactitude is 75%. Conclusion: Comparing with the practical clinical cases, the result is very good, and it shows the application of the neural network to medical diagnosis is successful. |
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| Keywords: | neural network backpropagation algorithm myocardial infarction diagnosis |
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