Table 4.
Effect of each variable on the analysis. The baseline included body temperature, antipyretic drug, and antibiotic drug data. “+<variable>” means that the variable was added to the baseline for the analysis and then removed for the next analysis (noncumulative addition).
| Variable | Sensitivity | Specificity | AUROCa | Accuracy | NPVb | F1 |
| Baseline | 0.6018 | 0.7187 | 0.7221 | 0.6592 | 0.6351 | 0.6425 |
| +sex | 0.5678 | 0.7401 | 0.7087 | 0.6524 | 0.6229 | 0.6245 |
| +weight | 0.5734 | 0.7523 | 0.7232 | 0.6619 | 0.6332 | 0.6315 |
| +age | 0.5634 | 0.7477 | 0.7201 | 0.6539 | 0.6229 | 0.6237 |
| +app surveillance | 0.8673c | 0.7599 | 0.8808c | 0.8146c | 0.8467c | 0.8264c |
| +KCDCd surveillance | 0.7670 | 0.7936c | 0.8607 | 0.7800 | 0.7666 | 0.7802 |
| +meteorological | 0.8127 | 0.7470 | 0.8712 | 0.7802 | 0.7961 | 0.7888 |
aAUROC: area under the receiver operating characteristic.
bNPV: negative predictive value.
cThe highest increase in the value for the corresponding column.
dKCDC: Korea Center for Disease Control.