Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels

Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels

Abstract Atrial fibrillation (AF) is the most common arrhythmia found in the intensive care unit (ICU), and is associated with many adverse outcomes. Effective handling of AF and similar arrhythmias is a vital part of modern critical care, but obtaining knowledge about both disease burden and effect...

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Bibliographic Details
Main Authors: Brian Chen, Golara Javadi, Alexander Hamilton, Stephanie Sibley, Philip Laird, Purang Abolmaesumi, David Maslove, Parvin Mousavi
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-24574-y

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https://doi.org/10.1038/s41598-022-24574-y

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