Table 6.

Prediction results of models using a 10-fold cross-validation procedure.

Models		Accuracy	TPRa	TNRb	F1-score
Urgent hospitalization
	ANNc	0.67	0.64	0.71	0.66
	SVMd	0.75	0.77	0.73	0.76
	RFe	0.66	0.65	0.67	0.66
	LRf	0.67	0.72	0.62	0.65
	DTg	0.66	0.65	0.67	0.65
Preventable hospitalization
	ANN	0.74	0.73	0.74	0.73
	SVM	0.74	0.71	0.76	0.73
	RF	0.73	0.73	0.74	0.73
	LR	0.74	0.71	0.76	0.73
	DT	0.72	0.73	0.71	0.72
Accessing the EDh with red code
	ANN	0.70	0.65	0.74	0.67
	SVM	0.68	0.64	0.72	0.66
	RF	0.68	0.66	0.70	0.67
	LR	0.69	0.64	0.74	0.67
	DT	0.67	0.70	0.65	0.68

^aTPR: true positive rate.

^bTNR: true negative rate.

^cANN: artificial neural network.

^dSVM: support vector machine.

^eRF: random forest.

^fLR: logistic regression.

^gDT: decision tree.

^hED: emergency department.