Baalman, S.W.E.; Lopes, R.R.; Ramos, L.A.; Neefs, J.; Driessen, A.H.G.; van Boven, W.P.; de Mol, B.A.J.M.; Marquering, H.A.; de Groot, J.R.
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques. Diagnostics 2021, 11, 1787.
https://doi.org/10.3390/diagnostics11101787
AMA Style
Baalman SWE, Lopes RR, Ramos LA, Neefs J, Driessen AHG, van Boven WP, de Mol BAJM, Marquering HA, de Groot JR.
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques. Diagnostics. 2021; 11(10):1787.
https://doi.org/10.3390/diagnostics11101787
Chicago/Turabian Style
Baalman, Sarah W. E., Ricardo R. Lopes, Lucas A. Ramos, Jolien Neefs, Antoine H. G. Driessen, WimJan P. van Boven, Bas A. J. M. de Mol, Henk A. Marquering, and Joris R. de Groot.
2021. "Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques" Diagnostics 11, no. 10: 1787.
https://doi.org/10.3390/diagnostics11101787
APA Style
Baalman, S. W. E., Lopes, R. R., Ramos, L. A., Neefs, J., Driessen, A. H. G., van Boven, W. P., de Mol, B. A. J. M., Marquering, H. A., & de Groot, J. R.
(2021). Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques. Diagnostics, 11(10), 1787.
https://doi.org/10.3390/diagnostics11101787