%0 Journal Article
%T Intelligent Decision Support System for the Diagnosis of Acute Myocardial Infarction<br>急性心肌梗塞诊断的智能决策支持系统
%A SUN Bai-qing
%A FENG Ying-jun
%A PAN Qi-shu
%A ZHANG Chang-sheng
%A HOU Gui-ying
%A GUAN Zhen-zhong
%A XU Jing
%A YU Ling-fan
%A <br>孙佰清
%A 冯英浚
%A 潘启树
%A 张长胜
%A 侯桂英
%A 关振中
%A 徐　晶
%A 于玲范
%J 系统工程理论与实践
%D 2006
%I 
%X The thesis firstly analyzes the actuality of intelligent medical diagnostic field.To reduce the mis-diagnosis ratio,an intelligent decision support system for the diagnosis of acute myocardial infarction is built.For the single parameter dynamic searching method is used to train neural network,which proves to work well than BP algorithm,the training speed and classifying precision of neural network are increased.Tested by the diagnostic cases in clinical,the sensitivity,specificity and accuracy of the diagnosis system are higher than those of the physicians.It is significant to improve the accuracy to diagnose acute myocardial infarction.
%K artificial neural network
%K acute myocardial infarction
%K decision support system
%K intelligent diagnosis system<br>人工神经网络
%K 急性心肌梗塞
%K 决策支持系统
%K 智能诊断系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=4872DE9EEC1252C3&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=A8DE7703CC9E390F&eid=3986B25773CB6C30&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=3&reference_num=6