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Article

Simple Models Versus Deep Learning in Detecting Low Ejection Fraction From The Electrocardiogram

2024-02-07

Abstract excerpt

<h4>Importance</h4> Deep learning methods have recently gained success in detecting left ventricular systolic dysfunction (LVSD) from electrocardiogram waveforms. Despite their impressive accuracy, they are difficult to interpret and deploy broadly in the clinical setting. <h4>Objective</h4> To determine whether simpler models based on standard electrocardiogram measurements could detect LVSD with similar accuracy...

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Literature Corpus work
9e03b53b-ea4c-5997-ae65-9be6a676f01d
DOI
10.1101/2024.02.06.24302412
Open publication

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Simple Models Versus Deep Learning in Detecting Low Ejection Fraction From The ElectrocardiogramDOI 10.1101/2024.02.06.24302412
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