Fig. 3

Effect of time from symptom onset on model performance. A Relationship between time from symptom onset to blood collection and the prediction probability of stroke produced by the final ensemble neural network model, in both stroke patients and stroke mimics, across the total study population. Strength and significance of correlations were accessed using Spearman’s rho. B ROC curves comparing the ability of the final ensemble neural network model to discriminate between stroke and stroke mimicking conditions in patients evaluated less than 3 h, from 3 to 6 h, or greater than 6 h from symptom onset. Sensitivity and specificity values are indicated for the diagnostic cutoff which produced the highest Youden index. Bootstrapped 95% confidence intervals associated with all diagnostic statistics are indicated. P-values indicate the probability area under ROC curve values differ from 0.5. AUC values were statistically compared across timepoints using the DeLong method. *Statistically significant