examined four ML methods and reported that ML models, particularly the RF model, showed a moderate ability to predict depression risk in patients undergoing coronary artery bypass graft surgery via biomarker data, especially soluble receptor for advanced glycation end products (sRAGE) (48). This evidence concerns the gene AGER and depressive disorder.