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. 2023 Jul 21;13(8):e3173. doi: 10.1002/brb3.3173

TABLE 5.

Representative values of neural network diagnostic accuracy.

ABR ATR TBR
Mean 95% CI Mean 95% CI Mean 95% CI
Accuracy 67.71 a , b 64.10–71.31 58.85 a , c 55.40–62.31 49.48 b , c 48.25–50.71
Sensitivity 56.94 b 53.66–60.23 59.72 c 47.62–71.82 36.36 b , c 32.30–40.43
Specificity 74.17 a , b 67.89–80.44 59.17 a 49.54–68.79 62.5 b 60.23–64.77
PPV 69.31 a , b 64.12–74.51 59.60 a , c 56.81–62.38 49.09 b , c 44.96–53.24
NPV 63.23 b 61.11–65.35 60.29 c 56.24–64.34 49.59 b , c 47.24–51.94
AUC 0.717 b MIN–MAX 0.633 c MIN–MAX 0.5 b , c MIN‐MAX
0.656–.778 .594–.671 .5–.5

Note: Accuracy, sensitivity, specificity, PPV, NPV, and AUC are presented at disease prevalence of 50%. AUCs of receiver operating characteristic curve were calculated by single‐point method.

Abbreviations: ABR, alpha/beta ratio; ATR, alpha/theta ratio; AUC, area under curve; CI, confidence interval; NPV, negative predictive value; PPV, positive predictive value; TBR, theta/beta ratio.

a

Significantly different in the comparison between ABR and ATR.

b

Significantly different in the comparison between ABR and TBR.

c

Significantly different in the comparison between ATR and TBR.