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| Autore: |
Nagel Claudia
|
| Titolo: |
Multiscale cohort modeling of atrial electrophysiology : risk stratification for atrial fibrillation through machine learning on electrocardiograms / / Claudia Nagel
|
| 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 ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910879395803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |