The paper reports that SHAP-identified top features of deep learning models trained on BRFSS 2023 align with medical literature for 13 chronic diseases, and uses this alignment to argue the models are broadly trustworthy.
Construction of machine learning diagnostic models for cardiovascular pan-disease based on blood routine and biochemical detection data,
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Trustworthy Chronic Disease Risk Prediction For Self-Directed Preventive Care via Medical Literature Validation
The paper reports that SHAP-identified top features of deep learning models trained on BRFSS 2023 align with medical literature for 13 chronic diseases, and uses this alignment to argue the models are broadly trustworthy.