Robust screening of atrial fibrillation with distribution classification

Robust screening of atrial fibrillation with distribution classification

Abstract Atrial fibrillation (AF) correlates with an increased risk of all-cause mortality or stroke, mainly due to undiagnosed patients and undertreatment. Its screening is thus a key challenge, for which machine learning methods hold the promise of cheaper and faster campaigns. The robustness of s...

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Bibliographic Details
Main Authors: Pierre-François Massiani, Lukas Haverbeck, Claas Thesing, Friedrich Solowjow, Marlo Verket, Matthias Daniel Zink, Katharina Schütt, Dirk Müller-Wieland, Nikolaus Marx, Sebastian Trimpe
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Atrial fibrillation
Screening
Support vector machines
Distribution classification
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-10090-2
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https://doi.org/10.1038/s41598-025-10090-2

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