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Article

Machine learning dimensionality reduction for heart rate n-variability (HRnV) based risk stratification of chest pain patients in the emergency department

2020-07-06

Abstract excerpt

<h4>Background</h4> Chest pain is among the most common presenting complaints in the emergency department (ED). Swift and accurate risk stratification of chest pain patients in the ED may improve patient outcomes and reduce unnecessary costs. Traditional logistic regression with stepwise variable selection has been used to build risk prediction models for ED chest pain patients. In this study, we aimed to investig...

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Literature Corpus work
b0f404c1-1308-5b14-b999-98c5a56fb7e1
DOI
10.1101/2020.07.05.20146571
Open publication

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Machine learning dimensionality reduction for heart rate n-variability (HRnV) based risk stratification of chest pain patients in the emergency departmentDOI 10.1101/2020.07.05.20146571
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