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An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm
BACKGROUND: Subclinical atrial fibrillation (AF) is one of the pathogeneses of embolic stroke. Detection of occult AF and providing proper anticoagulant treatment is an important way to prevent stroke recurrence. The purpose of this study was to determine whether an artificial intelligence (AI) mode...
Autores principales: | Kim, Ju Youn, Kim, Kyung Geun, Tae, Yunwon, Chang, Mineok, Park, Seung-Jung, Park, Kyoung-Min, On, Young Keun, Kim, June Soo, Lee, Yeha, Jang, Sung-Won |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299422/ https://www.ncbi.nlm.nih.gov/pubmed/35872911 http://dx.doi.org/10.3389/fcvm.2022.906780 |
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