CosÃn-Sales, J.; Anguita Sánchez, M.; Suárez, C.; Arias-Cabrales, C.; MartÃnez-Sanchez, L.; Savana Research Group; Arumi, D.; Fernández de Cabo, S.
Safety and Effectiveness of Oral Anticoagulants in Atrial Fibrillation: Real-World Insights Using Natural Language Processing and Machine Learning. J. Clin. Med. 2024, 13, 6226.
https://doi.org/10.3390/jcm13206226
AMA Style
CosÃn-Sales J, Anguita Sánchez M, Suárez C, Arias-Cabrales C, MartÃnez-Sanchez L, Savana Research Group, Arumi D, Fernández de Cabo S.
Safety and Effectiveness of Oral Anticoagulants in Atrial Fibrillation: Real-World Insights Using Natural Language Processing and Machine Learning. Journal of Clinical Medicine. 2024; 13(20):6226.
https://doi.org/10.3390/jcm13206226
Chicago/Turabian Style
CosÃn-Sales, Juan, Manuel Anguita Sánchez, Carmen Suárez, Carlos Arias-Cabrales, Luisa MartÃnez-Sanchez, Savana Research Group, Daniel Arumi, and Susana Fernández de Cabo.
2024. "Safety and Effectiveness of Oral Anticoagulants in Atrial Fibrillation: Real-World Insights Using Natural Language Processing and Machine Learning" Journal of Clinical Medicine 13, no. 20: 6226.
https://doi.org/10.3390/jcm13206226
APA Style
CosÃn-Sales, J., Anguita Sánchez, M., Suárez, C., Arias-Cabrales, C., MartÃnez-Sanchez, L., Savana Research Group, Arumi, D., & Fernández de Cabo, S.
(2024). Safety and Effectiveness of Oral Anticoagulants in Atrial Fibrillation: Real-World Insights Using Natural Language Processing and Machine Learning. Journal of Clinical Medicine, 13(20), 6226.
https://doi.org/10.3390/jcm13206226