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Predicting adverse outcomes after cardiac surgery using multi-task deep neural networks, clinical features, and electrocardiograms

2024-12-31

Abstract excerpt

<h4>Background</h4> Risk stratification models estimate the probabilities of adverse outcomes after cardiac surgical procedures, which helps clinicians and patients make informed decisions. <h4>Objectives</h4> We used the 12-lead electrocardiogram (ECG) and/or Society for Thoracic Surgeons (STS) variables to predict postoperative outcomes using deep learning methods that can incorporate diverse data types. <h4>Met...

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Literature Corpus work
78c570dc-1c77-5b23-b0bc-450a7f0599ac
DOI
10.1101/2024.12.31.24319813
Open publication

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Predicting adverse outcomes after cardiac surgery using multi-task deep neural networks, clinical features, and electrocardiogramsDOI 10.1101/2024.12.31.24319813
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