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

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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 fib...

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Bibliografski detalji
Glavni autor: Nagel, Claudia (auth)
Format: Elektronički Poglavlje knjige
Jezik:engleski
Izdano: KIT Scientific Publishing 2023
Serija:Karlsruhe transactions on biomedical engineering
Teme:
Electrical engineering
Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model
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