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Sociodemographic determinants of oral anticoagulant prescription in patients with atrial fibrillations: findings from the PINNACLE registry using machine learning
BACKGROUND: Current risk scores that are solely based on clinical factors have shown modest predictive ability for understanding of factors associated with gaps in real-world prescription of oral anticoagulation (OAC) in patients with atrial fibrillation (AF). OBJECTIVE: In this study, we sought to...
Autores principales: | Azizi, Zahra, Ward, Andrew T., Lee, Donghyun J., Gad, Sanchit S., Bhasin, Kanchan, Beetel, Robert J., Ferreira, Tiago, Shankar, Sushant, Rumsfeld, John S., Harrington, Robert A., Virani, Salim S., Gluckman, Ty J., Dash, Rajesh, Rodriguez, Fatima |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041076/ https://www.ncbi.nlm.nih.gov/pubmed/36993910 http://dx.doi.org/10.1016/j.hroo.2022.11.004 |
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