Table 1. Summary statistics of COVID-19 dataset and training data.
| Variable | Data | Q25 | Median | Mean | Q75 | P-value |
|---|---|---|---|---|---|---|
| Age | training | 55.0 | 67.0 | 63.8 | 75.0 | 4.04 ⋅ 10−3 |
| COVID-19 | 55.0 | 63.0 | 63.0 | 72.0 | ||
| LoS | training | 4.5 | 9.1 | 12.4 | 15.8 | 5.79 ⋅ 10−5 |
| COVID-19 | 5.0 | 12.0 | 13.9 | 19.0 | ||
| NEMS | training | 18.0 | 27.0 | 28.6 | 34.0 | <1.0 ⋅ 10−16 |
| COVID-19 | 32.0 | 32.0 | 33.2 | 39.0 | ||
| SAPS II | training | 35.0 | 46.0 | 48.5 | 59.0 | 1.39 ⋅ 10−1 |
| COVID-19 | 29.0 | 50.0 | 44.9 | 58.0 | ||
| Gender | training | Male: 61.9% | Female: 38.1% | 1.66 ⋅ 10−8 | ||
| COVID-19 | Male: 75.9% | Female: 24.1% | ||||
P-values are for two-sided Wilcoxon’s rank sum test for continuous variables and Fisher’s exact test for gender.