multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf

multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf

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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: KIT Scientific Publishing 2023
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000155927
id oapen-20.500.12657-62899
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spelling oapen-20.500.12657-628992024-03-28T08:18:49Z 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. 2023-05-02T14:43:52Z 2023-05-02T14:43:52Z 2023 book https://library.oapen.org/handle/20.500.12657/62899 eng Karlsruhe transactions on biomedical engineering application/pdf Attribution-ShareAlike 4.0 International multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf https://doi.org/10.5445/KSP/1000155927 KIT Scientific Publishing 10.5445/KSP/1000155927 10.5445/KSP/1000155927 44e29711-8d53-496b-85cc-3d10c9469be9 25 280 open access
institution OAPEN
collection DSpace
language English
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.
title multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
spellingShingle multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
title_short multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
title_full multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
title_fullStr multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
title_full_unstemmed multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
title_sort multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf
publisher KIT Scientific Publishing
publishDate 2023
url https://doi.org/10.5445/KSP/1000155927
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