Table 6 Performance data of the neural network model for the classification of advanced and non-advanced thyroid carcinomas
From: Advanced thyroid carcinomas: neural network analysis of ultrasonographic characteristics
Total (n = 96) | ADV (n = 32) | Non-ADV (n = 64) | ||
|---|---|---|---|---|
Accuracy (95% CI) | 84.4 (75.5–91.0) | |||
Sensitivity (95% CI) | 84.4 (67.2–94.7) | 82.8 (71.3–91.1) | ||
Specificity (95% CI) | 93.8 (84.8–98.3) | 83.1 (71.7–91.2) | ||
Positive predictive value (95% CI) | 87.1 (70.2–96.4) | 82.8 (71.3–91.1) | ||
Negative predictive value (95% CI) | 92.3 (83.0–97.5) | 95.3 (88.4–98.7) | ||
Cohens Kappa (95% CI) | 0.84 (71.2–97.5) | |||
F-score | 0.84 |