Actions for Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

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Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

Author
Nagel, Claudia
Published
[Place of publication not identified] : KIT Scientific Publishing, 2023.
Physical Description
1 electronic resource (280 pages).
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Language Note
English
Restrictions on Access
Open Access Unrestricted online access
Summary
An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fibrillation risk stratification with machine learning techniques and thus, reduces the risk of stroke in affected patients.
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ISBN
KSP/1000155927
Collection
OAPEN Library.
Terms of Use and Reproduction
Creative Commons https://creativecommons.org/licenses/by-sa/4.0/
View MARC record | catkey: 40802695