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Fig. 2 | Respiratory Research

Fig. 2

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

Fig. 2

Receiver operating characteristic curves of the four models to classify pulmonary A. baumannii colonization and infection. Model 1, clinical baseline information + laboratory indicators and radiographic features of T3. Model 2, model1 + the change value of between T3 and T1. Model 3, model 1 + the change value of between T3 and T2. Model 4, model 2 + model 3. All statistical comparisons between area under the receiver operating characteristic curve values of models 1–4 were significant (p < 0.05)

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