Table 5.

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

Models		Accuracy	TPRa	TNRb	F1-score
Mortality
	ANNc	0.78	0.81	0.76	0.79
	SVMd	0.79	0.77	0.80	0.78
	RFe	0.78	0.79	0.76	0.76
	LRf	0.78	0.78	0.79	0.78
	DTg	0.75	0.80	0.70	0.76
Fracture
	ANN	0.75	0.77	0.73	0.75
	SVM	0.75	0.77	0.74	0.75
	RF	0.75	0.78	0.72	0.76
	LR	0.75	0.75	0.75	0.75
	DT	0.74	0.76	0.72	0.74
Disability
	ANN	0.74	0.76	0.71	0.75
	SVM	0.75	0.78	0.73	0.76
	RF	0.75	0.77	0.72	0.75
	LR	0.75	0.76	0.73	0.74
	DT	0.73	0.78	0.70	0.75

^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.