Figure 2

Summary plot illustrating the relative importance of each input feature in the prediction model, as represented by the SHAP values. Being a binary classification problem, feature values can either be ‘0’ or ‘1’, with value ‘1’ indicating the positive (e.g. male = 1, means the patient is male).