Extended Data Fig. 6. Development and validation of an algorithm to screen for any ACS event.

This figure shows the classification performance of the machine learning model against other reference standards for detecting any acute coronary syndrome event (ACS). The figure also shows the distribution of patients in low-risk, intermediate risk, and high-risk groups as per our derived risk score. There is a notable gain in precision (rule-in) but a significant loss in recall (rule-out).