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Predicting short-term outcomes in atrial-fibrillation-related stroke using machine learning
BACKGROUND: Prognostic prediction and the identification of prognostic factors are critical during the early period of atrial-fibrillation (AF)-related strokes as AF is associated with poor outcomes in stroke patients. METHODS: Two independent datasets, namely, the Korean Atrial Fibrillation Evaluat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663332/ https://www.ncbi.nlm.nih.gov/pubmed/38020627 http://dx.doi.org/10.3389/fneur.2023.1243700 |