A CONFIDENT DECISION SUPPORT SYSTEM FOR INTERPRETING ELECTROCARDIOGRAMS Holger Holst, Mattias Ohlsson, Carsten Peterson and Lars Edenbrandt Computer-aided interpretation of electrocardiograms (ECGs) is widespread but many physicians hesitate to rely on the computer, because the advice is presented without information about the confidence of the advice. The purpose of this work was to develop a method to validate the advice of a computer by estimating the error of an artificial neural network output. A total of 1249 ECGs, recorded with computerized electrocardiographs, on patients who had undergone diagnostic cardiac catheterization were studied. LU TP 98-31