The primary objective is to develop a machine learning tool which predicts risk of 30-day MACE (major adverse cardiac event) risk stratification among patients visiting ED with suspicion of ACS (Acute Coronary Syndrome).
The data will also be utilized in subsequent clinical validation. In addition to retrospective Electronic Health Record (EHR) data, Health Information Exchange (HIE) data and patient reported outcomes will be collected to capture 30-day MACE outcomes, as applicable.
