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

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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書誌詳細
第一著者:	Nagel, Claudia (auth)
フォーマット:	電子媒体図書の章
言語:	英語
出版事項:	KIT Scientific Publishing 2023
シリーズ:	Karlsruhe transactions on biomedical engineering
主題:	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
オンライン･アクセス:	DOAB: download the publication DOAB: description of the publication
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Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

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