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Table 5 Performance data of the neural network model for the classification of the study groups

From: Advanced thyroid carcinomas: neural network analysis of ultrasonographic characteristics

  Total
(n = 96)
ADV
(n = 32)
PTC
(n = 32)
FTC
(n = 32)
Accuracy (95% CI) 84.4 (75.5–91.0)    
Sensitivity (95% CI)   84.4 (67.2–94.7) 87.5 (71.0–96.5) 78.1 (60.0–90.7)
Specificity (95% CI)   93.8 (84.8–98.3) 92.2 (82.7–97.4) 90.6 (79.7–96.5)
Positive predictive value (95% CI)   87.1 (70.2–96.4) 84.9 (68.1–94.9) 80.6 (62.5–92.6)
Negative predictive value (95% CI)   92.3 (83.0–97.5) 93.6 (84.5–98.2) 89.2 (79.1–95.6)
Fleiss Kappa (95% CI) 0.56 (0.55–0.57)    
F-score 0.84    
  1. ADV Advanced thyroid carcinoma (group 1), PTC Papillary thyroid carcinoma (group 2), FTC: follicular thyroid carcinoma (group 3), CI: confidence interval