Multiscale Cohort Modeling of Atrial Electrophysiology
Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
| dc.contributor.author | Nagel, Claudia | |
| dc.date.accessioned | 2023-05-02T14:43:52Z | |
| dc.date.available | 2023-05-02T14:43:52Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/62899 | |
| dc.description.abstract | 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. | en_US |
| dc.language | English | en_US |
| dc.relation.ispartofseries | Karlsruhe transactions on biomedical engineering | en_US |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering | en_US |
| dc.subject.other | Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model | en_US |
| dc.title | Multiscale Cohort Modeling of Atrial Electrophysiology | en_US |
| dc.title.alternative | Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms | en_US |
| dc.type | book | |
| oapen.identifier.doi | 10.5445/KSP/1000155927 | en_US |
| oapen.relation.isPublishedBy | 44e29711-8d53-496b-85cc-3d10c9469be9 | en_US |
| oapen.series.number | 25 | en_US |
| oapen.pages | 280 | en_US |
