Neural classification of chest pain symptoms: a comparative study

The authors demonstrate the effectiveness of neural networks in the diagnosis of heart attacks (acute myocardial infarction). Two neural network classifiers are compared. The multi-layered Perceptron is found to perform well but the probabilistic interpretation of its output is not well defined. The Boltzmann Perceptron Classifier is found to have comparable performance and has the advantage that it estimates a posteriori class probabilities directly, making no a priori assumptions about the class probabilities