Table 3.

The effects of the removal of each variable from the analysis. “–<Variable>” means that the variable was singularly removed from the list of variables for the corresponding experiment.

Variable	Sensitivity	Specificity	AUROCa	Accuracy	NPVb	F1
All	0.8171	0.8425	0.8931	0.8296	0.8163	0.8300
–Sex	0.8510	0.8028	0.8960	0.8273	0.8387	0.8338
–Weight	0.8171	0.8150	0.8832	0.8161	0.8113	0.8189
–Age	0.8333	0.8346	0.8911	0.8339	0.8333	0.8339
–Fever	0.8083	0.8287	0.8882	0.8183	0.8065	0.8191
–Antipyretics	0.8510	0.8058	0.8744c	0.8288	0.8392	0.8350
–Anti-viral agent	0.8304	0.8211	0.8892	0.8258	0.8236	0.8292
–App-based surveillance	0.8215	0.7905	0.8775	0.8063c	0.8103	0.8120c
–KCDCd surveillance	0.8614	0.7813c	0.8892	0.8221	0.8446	0.8313
–Meteorological	0.7950c	0.8486	0.8900	0.8213	0.7997c	0.8191

^aAUROC: area under the receiver operating characteristic.

^bNPV: negative predictive value.

^cThe highest decrease in the value for the corresponding column.

^dKCDC: Korea Center for Disease Control.