基于MATLAB的冠心病中医证候BP神经网络实现

The Realization of the BP Neural Network Model Based on the MATLAB Coronary Heart Disease of TCM Syndrome

目的:探讨人工神经网络技术在中医证候领域的应用。方法:在冠心病临床流行病学调查的基础上,采用MATLAB神经网络工具箱,构建冠心病中医证候人工神经网络模型。并运用回顾性检验及前瞻性检验的方法,客观的检测该模型的性能。结果:对已采集的496例的回顾性检验显示,该模型的诊断准确率达90.5%,且具体证型判别的准确率与样本例数呈正相关。对新采集的132例的前瞻性检验显示,模型的诊断准确率达91.36%。结论:人工神经网络能较好的获取证候的内在规则,其应用于中医证候的规范化研究具有良好的前景。

objective： to study the artificial neural network technology in the application in the field of TCM syndrome.Methods： Based on the clinical epidemiology investigation in coronary heart disease,we constructed an artificial neural network model of the coronary heart disease of TCM syndrome on the basis of neural network MATLAB toolbox,then we test the performance of this model using a retrospective of inspection and prospective testing method.Results：The diagnostic accuracy of rate is 90.5% in 496 cases of already collection of retrospective examination showed,and specific syndrome types of discrimination and sample number accuracy were positively correlated.The diagnostic accuracy of rate is 91.36% in new collection of 132 cases of the prospective examination showed.Conclusion： The artificial neural network can better the forensics of syndrome because it can explore the internal rules of TCM syndrome.And there are a good prospect using artificial neural network in the study of standardization of traditional Chinese medical syndrome.