title: Assessment of diagnostic ECG results using information and decision theory. Results from the CSE diagnostic study.
abstract: 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.
authors.affiliation: Division of Medical Informatics, University Hospital Gasthuisberg, Leuven, Belgium.
authors.forename: J L
authors.initials: JL
authors.lastname: Willems
mesh_terms: 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