基于人工神经网络的冠心病鉴别诊断方①
人工神经网络冠心病鉴别诊断病情数字化处理
 |
| 第1页 |
参见附件。
【摘要】人工神经网络在冠心病诊断领域已取得广泛应用并取得良好效果,但其在冠心病鉴别诊断领域的应用仍为空白。本文从冠心病的鉴别诊断入手,选用基于LM算法的人工神经网络,结合目前中国医疗场所对冠心病及其他疾病的诊断方法,就如何运用人工神经网络实现冠心病的鉴别诊断进行了理论上的探讨,并给出了具体的样本信息数字化方法,填补了国内相关领域研究的空白。
【关键词】 人工神经网络冠心病鉴别诊断病情数字化处理
【中图分类号】 R541【文献标识码】 A【文章编号】 1674-0742(2011)04(c)-0191-02
A Method for Different Diagnosis of Coronary Heart Disease
by Artificial Neural Network
ZHAO Hanqing
【Abstract】 Artificial Neural Networks in the field of coronary heart disease diagnosis has been made widely and achieved good results,but its field of application of the differential diagnosis of coronary heart disease is still blank.In this paper,the differential diagnosis of coronary heart disease start,use LM algorithm based on artificial neural network,combined with the current Chinese medical establishments of coronary heart disease and other diseases,diagnostic methods,the use of artificial neural networks on how to implement the differential diagnosis of coronary heart disease was a theoretical study,and gives a sample of specific methods of digital information,to fill the gaps in research in related fields ......
您现在查看是摘要介绍页，详见PDF附件。