Skip to main content
Figure 1 | BMC Medical Informatics and Decision Making

Figure 1

From: A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part II: an illustrative example

Figure 1

Median values of AUC (AŨC) obtained for the eight models by the bootstrap resampling method, in relation to the dimension of each best subset of features identified by the stepwise selection procedure. AŨC patterns in the training and test data are shown as continuous and dashed lines, respectively. The asterisk on the curve indicates the point of the optimal set of features for predicting morbidity. BL, Bayes linear; BQ, Bayes quadratic; k NN, k-nearest neighbour; LR, logistic regression; HS, Higgins score; DS, direct score; ANN1, one-layer artificial neural network; ANN2, two-layer artificial neural network.

Back to article page

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us