Table 2.
Metrics of prediction and forecasting models. Mean and standard deviation values across 5 cross-validation splits are shown. AUROC: area under the receiver operating characteristics.
| Features |
Prediction model | Forecasting model | ||
|
|
Laboratory only, mean (SD) | Laboratory and CTa, mean (SD) | CT only, mean (SD) | Laboratory only, mean (SD) |
| Precision | 0.75 (0.2) | 0.82 (0.05) | 0.55 (0.22) | 0.61 (0.23) |
| Recall | 0.7 (0.15) | 0.79 (0.1) | 0.56 (0.23) | 0.61 (0.11) |
| AUROCb Score | 0.86 (0.1) | 0.93 (0.03) | 0.68 (0.22) | 0.81 (0.14) |
| F1 Score | 0.69 (0.17) | 0.81 (0.05) | 0.56 (0.22) | 0.60 (0.16) |
| Accuracy | 0.87 (0.04) | 0.88 (0.03) | 0.78 (0.12) | 0.83 (0.06) |
aCT: computed tomography.
bAUROC: area under the receiver operating characteristic.