Skip to main content
Fig. 1 | BMC Neurology

Fig. 1

From: Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts

Fig. 1

Comparison of circulating cell counts between stroke patients and stroke mimics. A Circulating red blood cell, platelet, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts, as well as neutrophil-to-lymphocyte ratios in stroke patients and stroke mimics at hospital admission. Bloxplots indicate median and interquartile range. Some axes are broken to display extreme values, as indicated by dashed line. Intergroup statistical comparisons were performed via two-sided Mann–Whitney U test, both stratified and unstratified by age quartile. B ROC curves depicting the individual abilities of circulating cell counts to discriminate between stroke patients and stroke mimics, compared to the CPSS and the NIHSS. 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 that area under ROC curve values differ from 0.5. *Statistically significant

Back to article page