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Fig 1.

Patient demographics and injury characteristics.

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Fig 2.

Illustration of the DT model for predicting mortality in patients with isolated moderate and severe TBI.

Boxes denote the percentage of patients analyzed with discriminating variables; survivors and non-survivors are indicated by green and red colors, respectively.

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Fig 3.

Architecture of the three-layered feed-forward ANN.

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Table 1.

Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT, NB, and ANN models on training and test sets.

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Fig 4.

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isolated moderate and severe TBI.

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Fig 5.

Calibration curves by the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isolated moderate and severe TBI.

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