Another ML-based study of adverseevent prediction in acute coronary syndrome (apolipoprotein A1/B, ApoA1/B) showed that differentmachine learning models showed good predictive performance in predictingall-cause death, myocardial infarction, and major bleeding in acute coronarysyndrome (ACS) patients at 1 year after discharge, and compared with traditionalrisk prediction tools, ML algorithm has advantages in predicting MACEs [16]. Here, APOA1 is linked to acute coronary syndrome.