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...

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Detalles Bibliográficos
Autores principales: Jeon, Eun-Tae, Jung, Seung Jin, Yeo, Tae Young, Seo, Woo-Keun, Jung, Jin-Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
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

Internet

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

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