The use of classification and regression tree (CART) methodology is explored for the diagnosis of patients complaining of anterior chest pain. The results are compared with those previously obtained using correspondence analysis and independent Bayes classification. The technique is shown to be of potential value for identifying important indicators and cutpoints for continuous variables, although the overall classification performance was rather disappointing. Suggestions are made for extensions to the methodology to make it more suitable for clinical practice.