Multiscale Cohort Modeling of Atrial Electrophysiology

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 fib...

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Main Author: Nagel, Claudia
Format: Online
Language:English
Published: KIT Scientific Publishing 2023
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Online Access:https://library.oapen.org/handle/20.500.12657/62899
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author Nagel, Claudia
author_browse Nagel, Claudia
author_facet Nagel, Claudia
author_sort Nagel, Claudia
collection Directory of Open Access Books
description 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.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-99908.22024-04-11T20:35:18Z Multiscale Cohort Modeling of Atrial Electrophysiology Nagel, Claudia Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering 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. 2023-07-21T15:26:30Z 2023-05-03T04:01:41Z 2023-07-21T15:26:30Z 2023-05-02T14:43:52Z 2023 book https://library.oapen.org/handle/20.500.12657/62899 9783731512813 https://directory.doabooks.org/handle/20.500.12854/99908.2 eng Karlsruhe transactions on biomedical engineering open access application/octet-stream Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/62899/1/multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf KIT Scientific Publishing 10.5445/KSP/1000155927 10.5445/KSP/1000155927 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512813 280 open access
spellingShingle Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Nagel, Claudia
Multiscale Cohort Modeling of Atrial Electrophysiology
title Multiscale Cohort Modeling of Atrial Electrophysiology
title_full Multiscale Cohort Modeling of Atrial Electrophysiology
title_fullStr Multiscale Cohort Modeling of Atrial Electrophysiology
title_full_unstemmed Multiscale Cohort Modeling of Atrial Electrophysiology
title_short Multiscale Cohort Modeling of Atrial Electrophysiology
title_sort multiscale cohort modeling of atrial electrophysiology
topic Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
topic_facet Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
url https://library.oapen.org/handle/20.500.12657/62899
work_keys_str_mv AT nagelclaudia multiscalecohortmodelingofatrialelectrophysiology