Abstract
Chest pain is a common presentation in the emergency department (ED). Variation in high sensitivity cardiac troponin I (hs-cTnI) by age and gender make diagnosis of AMI more challenging. Machine learning integrates these variables to allow more accurate and rapid evaluation of possible AMI. We
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