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. Author manuscript; available in PMC: 2021 Mar 10.
Published in final edited form as: IEEE J Biomed Health Inform. 2017 Nov 3;22(5):1486–1496. doi: 10.1109/JBHI.2017.2769800

Fig. 1.

Fig. 1.

Overview of the procedure. Step 1 is to represent each scan as a bag of instances (feature vectors). The bag is labeled as COPD (+1) or non-COPD (−1). Step 2 is to weight the training bags by their similarity to the unlabeled test scan. Step 3 is to use the weighted bags to train a classifier. In step 4 this classifier is used to classify the test instances. The instance labels are combined into an overall label for the scan, in this case COPD (+1).