Fig. 4From: Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory researchThe area under the receiver operating curve (AUC) for ventilator-associated pneumonia in the testing set, with the 95% confidence interval. We used the random forest algorithm to establish the prediction model and then tested the prediction accuracy on the training set. Using bootstrap resampling for 2000 replicates, the 95% confidence intervals are shown as gray areas around the mean bootstrapped curveBack to article page