A common method involves mechanisms incorporated within deep learning models to explore whether the attention region of the model has clinical diagnostic decision-making significance . Ma et al. employed attention mechanisms and RNNs to achieve interpretable predictions of medical codes. Kang et al. applied an attention mechanism to multi-omics data to interpret gene expression predictions.