Intelligent Decision Support System for the Diagnosis of Acute Myocardial Infarction
急性心肌梗塞诊断的智能决策支持系统

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.