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Record Nr. |
UNINA9910879395803321 |
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Autore |
Nagel Claudia |
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Titolo |
Multiscale cohort modeling of atrial electrophysiology : risk stratification for atrial fibrillation through machine learning on electrocardiograms / / Claudia Nagel |
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Pubbl/distr/stampa |
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Karlsruhe : , : KIT Scientific Publishing, , 2023 |
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Descrizione fisica |
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Collana |
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Karlsruhe transactions on biomedical engineering; ; 27 |
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Disciplina |
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Soggetti |
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Atrial fibrillation - Mathematical models |
Electrocardiography - Data processing |
Machine learning |
Biomedical engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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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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