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Multiscale cohort modeling of atrial electrophysiology : risk stratification for atrial fibrillation through machine learning on electrocardiograms / / Claudia Nagel



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Autore: Nagel Claudia Visualizza persona
Titolo: Multiscale cohort modeling of atrial electrophysiology : risk stratification for atrial fibrillation through machine learning on electrocardiograms / / Claudia Nagel Visualizza cluster
Pubblicazione: Karlsruhe : , : KIT Scientific Publishing, , 2023
Descrizione fisica: 1 online resource
Disciplina: 616.1
Soggetto topico: Atrial fibrillation - Mathematical models
Electrocardiography - Data processing
Machine learning
Biomedical engineering
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: 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.
Titolo autorizzato: Multiscale cohort modeling of atrial electrophysiology  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910879395803321
Lo trovi qui: Univ. Federico II
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