Figure 3
Results of the analysis of the sPDA prediction model. a. Top 10 mean absolute SHAP values of the features, calculated on the test dataset. b. Examples of images having the highest and lowest feature_173 values (i.e., 174th element of the feature vector). The images with low feature_173 values exhibit clear lung fields and normal hearts, while the images with high feature_173 values exhibit more opaque lung fields and larger hearts. c. Mean absolute SHAP values of the ratio-based features on the test dataset. d. Beeswarm plot of SHAP values of the features on the test dataset. Negative SHAP values indicate that the feature value impacts the model prediction negatively, while positive SHAP values indicate that the feature value impacts the model prediction positively. The color of the points indicates the feature value. In the case of the gender feature, red indicates female and blue indicates male.
