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

Author:: Nagel, Claudia
Published:: KIT Scientific Publishing 2023
Physical Description:: 1 electronic resource (280 p.)

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Series:

Karlsruhe transactions on biomedical engineering 25

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.

Subject(s):

Electrical engineering

Other Subject(s):

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