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1 Ergebnisse
1
Machine Learning Using a Single-Lead ECG to Identify Patien..:
Giorgio Luongo
;
Felix Rees
;
Deborah Nairn
...
https://www.frontiersin.org/articles/10.3389/fcvm.2022.812719/full. , 2022
Link:
https://doi.org/10.3389/fcvm.2022.812719
RT Journal T1 <Title>Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:4f59f2f7c1b74675b829a864dcae0902&Exemplar=1&LAN=DE A1 Giorgio Luongo A1 Felix Rees A1 Deborah Nairn A1 Massimo W. Rivolta A1 Olaf Dössel A1 Roberto Sassi A1 Christoph Ahlgrim A1 Louisa Mayer A1 Franz-Josef Neumann A1 Thomas Arentz A1 Amir Jadidi A1 Axel Loewe A1 Björn Müller-Edenborn PB Frontiers Media S.A. YR 2022 K1 atrial fibrillation K1 heart failure K1 machine learning K1 ECG K1 RR intervals K1 diagnostic tool K1 Diseases of the circulatory (Cardiovascular) system K1 RC666-701 JF https://www.frontiersin.org/articles/10.3389/fcvm.2022.812719/full LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2022.812719 DO https://doi.org/10.3389/fcvm.2022.812719 SF ELIB - SuUB Bremen
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