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Table 4 Performance of the BPNN model in the training, test and validation set

From: A deep learning model for predicting multidrug-resistant organism infection in critically ill patients

Model

AUC (95% CI)

Accuracy

Sensitivity

Specificity

Training set

0.889 (0.852–0.925)

0.895

0.818

0.811

Test set

0.919 (0.856–0.983)

0.918

0.857

0.864

Validation set

0.811 (0.731–0.891)

0.852

0.806

0.715

  1. BPNN: backpropagation neural network; AUC: area under the curve
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Journal of Intensive Care

ISSN: 2052-0492