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. 2015 Aug 11;11(4):756–763. doi: 10.5114/aoms.2015.48145

Table II.

Performance comparison of artificial neural network and logistic regression models for predicting reintubation, prolonged mechanical ventilation and death

Outcomes Accuracy Sensitivity Specificity AUC AUC p-value
Reintubation:
 Artificial neural network 0.63 0.64 0.63 0.65 (0.53–0.77) 0.013
 Logistic regression 0.60 0.64 0.60 0.62 (0.50–0.75) 0.049
Prolonged mechanical ventilation:
 Artificial neural network 0.63 0.76 0.62 0.72 (0.64–0.81) 7.11 × 10–7
 Logistic regression 0.63 0.64 0.63 0.67 (0.57–0.78) 0.0016
Death (considering PMV):
 Artificial neural network 0.77 0.91 0.76 0.85 (0.80–0.91) 0
 Logistic regression 0.77 0.82 0.77 0.86 (0.79–0.93) 0

AUC – area under the receiver operating characteristic (ROC) curve, PMV – prolonged mechanical ventilation