Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis

Figure 6 Visualization of the fusion model’s predicted probabilities in the training set based on the predicted probabilities from clinical model and radiomics model. Each point represents a sample, with the X-axis indicating the probability predicted by clinical model and the Y-axis indicating the probability predicted by radiomics model. The color gradient reflects the predicted probability from the C model, which integrates both modalities, with blue indicating lower probability and red indicating higher probability. Circle and square markers represent negative and positive ground-truth labels, respectively.