A Predictive Model to Classify Undifferentiated Fever Cases Based on Twenty-Four-Hour Continuous Tympanic Temperature Recording

Table 3

Area under ROC curve of quadratic support vector machine algorithm.

Cases	AUROC^#	False-positive rate	True-positive rate	Sensitivity (%)	Specificity (%)
Tuberculosis	0.961	0.088	0.964	96.43 (81.65–99.91)	91.18 (81.78–96.6)
Intracellular bacterial infections	0.801	0.072	0.555	55.56 (35.33–74.52)	92.75 (83.89–97.61)
Dengue fever	0.815	0.061	0.533	53.33 (26.59–78.73)	93.83 (86.18–97.97)
Noninfectious diseases	0.818	0.157	0.730	73.08 (52.21–88.43)	84.29 (73.62–91.89)

^#Area under ROC curve was automatically calculated and given by MATLAB software.