Show simple item record

dc.contributor.authorNagel, Claudia
dc.date.accessioned2023-05-02T14:43:52Z
dc.date.available2023-05-02T14:43:52Z
dc.date.issued2023
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/62899
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.en_US
dc.languageEnglishen_US
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineeringen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineeringen_US
dc.subject.otherElectrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape modelen_US
dc.titleMultiscale Cohort Modeling of Atrial Electrophysiologyen_US
dc.title.alternativeRisk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiogramsen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000155927en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number25en_US
oapen.pages280en_US
peerreview.anonymityAll identities known
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.review.stagePre-publication
peerreview.review.typeFull text
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record