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Oral anticoagulant treatment in atrial fibrillation: the AFIRMA real-world study using natural language processing and machine learning.

J Cosín-SalesM AnguitaC SuárezC Arias-CabralesL Martínez-Sancheznull nullD ArumiS Fernández de Cabo
Published in: Revista clinica espanola (2024)
Utilizing NLP and ML to extract RWD, we established the most comprehensive Spanish cohort of AF patients with OAC to date. Analysis revealed a high AF prevalence, patient complexity, and a marked VKA preference over DOAC. Importantly, in VKA to DOAC transitions, apixaban was the favored option.
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