Table 4.
The ablation experiments of the second predictive model.
Accuracy (%) | AUC (%) | 95% CI for AUC (%) | Sensitivity (%) | 95% CI for sensitivity (%) | Specificity (%) | 95% CI for specificity (%) | F1 (%) | |
---|---|---|---|---|---|---|---|---|
hs-CRP | 68.75 | 81.28 | 71.2–91.27 | 66.67 | 50.95–79.56 | 72.00 | 50.40–87.13 | 73.17 |
+IL-6 | 74.29 | 79.56 | 68.92–90.19 | 80.00 | 64.95–89.91 | 64.00 | 42.62–81.29 | 80.00 |
+IL-2R | 75.71 | 83.38 | 74.00–92.76 | 77.78 | 62.52–88.29 | 72.00 | 50.41–87.12 | 80.46 |
+PCT | 75.71 | 79.56 | 68.96–90.15 | 75.56 | 60.14–86.61 | 76.00 | 54.48–89.84 | 80.00 |
+TNF-α | 74.29 | 83.91 | 74.60–93.22 | 71.11 | 55.48–83.16 | 80.00 | 58.87–92.39 | 78.05 |
+LYMPHA | 78.57 | 87.38 | 78.88–95.88 | 73.33 | 57.79–84.90 | 88.00 | 67.66–96.85 | 81.48 |
+NEUTP | 80.00 | 90.58 | 83.59–97.56 | 73.33 | 57.79–84.90 | 92.00 | 72.50–98.60 | 82.50 |
+RBC | 82.86 | 92.98 | 86.91–99.04 | 82.22 | 67.41–91.49 | 84.00 | 63.08–94.75 | 86.05 |
The first experiment only used the hs-CRP value as a single input feature of the model. Then IL-6 was added to the second column, that is, the model used hs-CRP and IL-6 as input features. Finally, when taking eight features, including Red Blood Cell Count (RBC), the model’s performance is very close to the prediction model with 45 features.