Assessment of diagnostic ECG results using information and decision theory. Results from the CSE diagnostic study.
Information and decision theory were applied to assess the interpretation results of 15 computer programs (9 electrocardiogram and 6 vectorcardiogram) and 9 cardiologists; 8 of whom analyzed the electrocardiogram and 5 the vectorcardiogram, using a database of 1,220 clinically validated cases. The study demonstrates that information content and utility indices, by providing a comprehensive view of diagnostic performance, can enhance the insight given by the more classic statistical performance measures.
Willems
J L
JL
Division of Medical Informatics, University Hospital Gasthuisberg, Leuven, Belgium.
D002309:Cardiology; D006332:Cardiomegaly / Q000175:diagnosis*; D003662:Decision Theory; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography; D006801:Humans; D007257:Information Theory; D009203:Myocardial Infarction / Q000175:diagnosis*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014672:Vectorcardiography