AGER and depressive symptom measurement: 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).