Research Article
Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
Table 3
Performance of the IRC based on SDSAE.
| | Parameter | Training set (n = 929) | Independent testing set (n = 84) | | Value | CI of 95% | Value | CI of 95% |
| | Proportion of malignancy | 85.8% | — | 85.7% | — | | Area under the curve | 0.887 | 0.855–0.920 | 0.785 | 0.638–0.931 | | Accuracy | 92.0% | 92.0–92.0% | 92.9% | 92.7–93.0% | | Sensitivity | 93.4% | 91.6–95.1% | 98.6% | 95.9–101.3% | | Specificity | 84.1% | 77.9–90.3% | 58.3% | 30.4–86.2% | | Positive likelihood ratio | 5.868 | 3.962–8.689 | 2.367 | 1.211–4.625 | | Negative likelihood ratio | 0.079 | 0.060–0.104 | 0.024 | 0.003–0.177 | | Positive predictive value | 97.3% | 96.1–98.4% | 93.4% | 87.8–99% | | Negative predictive value | 67.7% | 60.5–74.8% | 87.5% | 64.6–110.4% |
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IRC: immune-related classifier; SDSAE: stacked denoising sparse autoencoder; CI: confidence interval.
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