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dc.contributor.authorNagel, Claudia
dc.date.accessioned2025-03-07T19:23:03Z
dc.date.available2025-03-07T19:23:03Z
dc.date.issued2023
dc.date.submitted2023-05-02T14:43:52Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/62899
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/163758
dc.description.abstractAn 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.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineering
dc.rightsopen access
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.subject.otherElectrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model
dc.titleMultiscale Cohort Modeling of Atrial Electrophysiology
dc.title.alternativeRisk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
dc.typebook
oapen.identifier.doi10.5445/KSP/1000155927
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731512813
oapen.collectionAG Universitätsverlage
oapen.pages280
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
dc.seriesnumber25
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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