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Multiscale Cohort Modeling of Atrial Electrophysiology
Claudia Nagel
2023
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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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Keywords
- Electrical engineering
- Energy technology & engineering
- Technology, engineering, agriculture
Links
DOI: 10.5445/KSP/1000155927Editions