Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
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...
保存先:
第一著者: | Nagel, Claudia (auth) |
---|---|
フォーマット: | 電子媒体 図書の章 |
言語: | 英語 |
出版事項: |
KIT Scientific Publishing
2023
|
シリーズ: | Karlsruhe transactions on biomedical engineering
25 |
主題: | |
オンライン・アクセス: | OAPEN Library: download the publication OAPEN Library: description of the publication |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
著者:: Nagel, Claudia
出版事項: (2023) -
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation A Translational Study to Guide Ablation Therapy
著者:: Patricio Sánchez Arciniegas, Jorge
出版事項: (2022) -
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation A Translational Study to Guide Ablation Therapy
著者:: Patricio Sánchez Arciniegas, Jorge
出版事項: (2022) -
Recent Advances in Understanding the Basic Mechanisms of Atrial Fibrillation Using Novel Computational Approaches
出版事項: (2019) -
Multiscale Modeling of Cardiac Electrophysiology: Adaptation to Atrial and Ventricular Rhythm Disorders and Pharmacological Treatment
著者:: Wilhelms, Mathias
出版事項: (2013)