Table 3 Confusion matrix for predicting HCM (n = 23 cases) and DCM (n = 37, excluding one with uncertain NYHA class) among HF patients with NYHA class ≥ I using a neural network based on the four CK metabolic parameters, [PCr], [ATP], k_f, and CK flux. The numbers at the top of the boxes are the number of cases classified correctly (green boxes) or misclassified (orange boxes), with the percentages of the total listed below. The % correct (green, bold font) and incorrect (red, bold font) are summarized for each output class (see Table 1 caption for interpretation)

From: Neural-network classification of cardiac disease from ³¹P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism