Figure 2 | Scientific Reports

Figure 2

From: Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study

Figure 2

Prediction ability of the reference and machine learning models for intensive treatment outcome in the overall cross-validated dataset. (A) Receiver-operating-characteristics (ROC) curves. The corresponding values of the area under the receiver-operating-characteristics curve (AUC) for each model are presented in Table 2. (B) Decision curve analysis. X-axis indicates the threshold probability for intensive treatment outcome; Y-axis indicates the net benefit. Compared to the reference model, the net benefit of all machine learning models was larger over the range of clinical threshold.

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