Multiscale Cohort Modeling of Atrial Electrophysiology: Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

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

Dublin Core

Title

Multiscale Cohort Modeling of Atrial Electrophysiology: Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

Subject

Electrical engineering

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.

Creator

Nagel, Claudia

Source

https://library.oapen.org/handle/20.500.12657/62899

Publisher

KIT Scientific Publishing

Date

2023

Contributor

Sukartini

Rights

https://creativecommons.org/licenses/by-sa/4.0/

Format

Pdf

Language

English

Type

Textbooks

Identifier

DOI
10.5445/KSP/1000155927
ISBN
9783731512813

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