Skip to main content
Fig. 5 | Respiratory Research

Fig. 5

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

Fig. 5

Two examples in the test set. On the left are the SHAP’s feature distribution analysis graphs of the highest predicted probability model prediction. The red bar represent the positive contribution to model’s prediction, while the blue bar means the negative contribution to its prediction. On the right are the radiographs of the cases. (a) An example of a 71-year-old female patient with intrahepatic bile duct stones with cholangitis. The strain was detected in the patient’s natural cough sputum 7 days after admission. The predicted probability of model 4 is 0.897. (b) A case with a 58-year-old female patient with glioblastoma of the frontal lobe. The strain was detected in the patient’s natural cough sputum 13 days after admission

Back to article page

Respiratory Research

ISSN: 1465-993X

Contact us