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1 Ergebnisse
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Clinical applicability of an artificial intelligence predic..:
Yeji Kim
;
Gihun Joo
;
Bo-Kyung Jeon
...
https://www.frontiersin.org/articles/10.3389/fcvm.2023.1168054/full. , 2023
Link:
https://doi.org/10.3389/fcvm.2023.1168054
RT Journal T1 <Title>Clinical applicability of an artificial intelligence prediction algorithm for early prediction of non-persistent atrial fibrillation</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e238c84d93eb43299979533e4619b97c&Exemplar=1&LAN=DE A1 Yeji Kim A1 Gihun Joo A1 Bo-Kyung Jeon A1 Dong-Hyeok Kim A1 Tae Young Shin A1 Hyeonseung Im A1 Junbeom Park PB Frontiers Media S.A. YR 2023 K1 non-persistent atrial fibrillation K1 artificial intelligence K1 convolutional neural network K1 electrocardiogram K1 normal sinus rhythm K1 Diseases of the circulatory (Cardiovascular) system K1 RC666-701 JF https://www.frontiersin.org/articles/10.3389/fcvm.2023.1168054/full LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2023.1168054 DO https://doi.org/10.3389/fcvm.2023.1168054 SF ELIB - SuUB Bremen
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