Wang et al. demonstrated that the use of SHAP not only improved the interpretability of their XGBoost model in estimating 3‐year all‐cause mortality in the heart failure population but also helped identify key predictors such as age, NT‐proBNP levels, and NYHA classification [28]. This evidence concerns the gene NPPB and heart failure.