Article

Development of an ensemble machine learning prognostic model to predict 60-day risk of major adverse cardiac events in adults with chest pain

2021-03-08

Abstract excerpt

<h4>Background: </h4> Chest pain is the second leading reason for emergency department (ED) visits and is commonly identified as a leading driver of low-value health care. Accurate identification of patients at low risk of major adverse cardiac events (MACE) is important to improve resource allocation and reduce over-treatment. <h4>Objectives:</h4> We assessed machine learning (ML) methods and electronic health re...

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Literature Corpus work: d1ba02ac-583f-5771-9981-fa12002e46e9
DOI: 10.1101/2021.03.08.21252615

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