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Fig. 3 | Respiratory Research

Fig. 3

From: Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii

Fig. 3

Decision curve analysis was performed to evaluate the net benefit, with the y-axis representing the net benefit. The optimal prediction to maximize net benefit was determined by identifying the higher curve at any given threshold probability. The results of the decision curve analysis demonstrated that the model utilizing all feature sets provided a greater net benefit compared to other models, highlighting its superior predictive performance

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Respiratory Research

ISSN: 1465-993X

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