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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- library.oapen.org , Open Access: OAPEN Library, download the publication
- library.oapen.org , Open Access: OAPEN Library: description of the publication
- Series:
- 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):
- Other Subject(s):
- ISBN:
- KSP/1000155927
- Collection:
- OAPEN Library.
- Terms of Use and Reproduction:
- Creative Commons https://creativecommons.org/licenses/by-sa/4.0/
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