Table 2. Comparison of models using screening questionnaire and EHR data in predicting need for health-related social service within 30 days of emergency department visit.

	ML EHR model	ML EHR model with age & gender	Screening questionnaire model	Screening questionnaire model with age & gender
AUC	0.765 (0.737, 0.792)	0.772 (0.744, 0.800)	0.580 (0.546, 0.611)	0.640 (0.609, 0.672)
Sensitivity	0.600 (0.560, 0.640)	0.646 (0.606, 0.684)	0.578 (0.537, 0.617)	0.613 (0.572, 0.652)
Specificity	0.790 (0.753, 0.822)	0.765 (0.727, 0.799)	0.566 (0.524, 0.608)	0.583 (0.541, 0.625)
PPV	0.756 (0.715, 0.793)	0.749 (0.709, 0.785)	0.591 (0.550, 0.631)	0.615 (0.574, 0.654)

AUC = area under the curve.

PPV = positive predictive value.