Fig. 5

Comparison of the final neural network model to symptom-based scales for stroke recognition. A ROC curves depicting the ability of the final ensemble neural network model to discriminate between stroke patients and stroke mimics, in comparison to CPSS scores and NIHSS scores, with respect to the training set, test set, and total study population. Bootstrapped 95% confidence intervals associated with area under ROC curve values are indicated. AUC values were statistically compared using the DeLong method. *Statistically significant. B Decision curves comparing the observed net benefit of using the final ensemble neural network model as a triage tool to those of the CPSS and the NIHSS, across a range of decision thresholds