Burrello, J.; Gallone, G.; Burrello, A.; Jahier Pagliari, D.; Ploumen, E.H.; Iannaccone, M.; De Luca, L.; Zocca, P.; Patti, G.; Cerrato, E.;
et al. Prediction of All-Cause Mortality Following Percutaneous Coronary Intervention in Bifurcation Lesions Using Machine Learning Algorithms. J. Pers. Med. 2022, 12, 990.
https://doi.org/10.3390/jpm12060990
AMA Style
Burrello J, Gallone G, Burrello A, Jahier Pagliari D, Ploumen EH, Iannaccone M, De Luca L, Zocca P, Patti G, Cerrato E,
et al. Prediction of All-Cause Mortality Following Percutaneous Coronary Intervention in Bifurcation Lesions Using Machine Learning Algorithms. Journal of Personalized Medicine. 2022; 12(6):990.
https://doi.org/10.3390/jpm12060990
Chicago/Turabian Style
Burrello, Jacopo, Guglielmo Gallone, Alessio Burrello, Daniele Jahier Pagliari, Eline H. Ploumen, Mario Iannaccone, Leonardo De Luca, Paolo Zocca, Giuseppe Patti, Enrico Cerrato,
and et al. 2022. "Prediction of All-Cause Mortality Following Percutaneous Coronary Intervention in Bifurcation Lesions Using Machine Learning Algorithms" Journal of Personalized Medicine 12, no. 6: 990.
https://doi.org/10.3390/jpm12060990
APA Style
Burrello, J., Gallone, G., Burrello, A., Jahier Pagliari, D., Ploumen, E. H., Iannaccone, M., De Luca, L., Zocca, P., Patti, G., Cerrato, E., Wojakowski, W., Venuti, G., De Filippo, O., Mattesini, A., Ryan, N., Helft, G., Muscoli, S., Kan, J., Sheiban, I.,
... D’Ascenzo, F.
(2022). Prediction of All-Cause Mortality Following Percutaneous Coronary Intervention in Bifurcation Lesions Using Machine Learning Algorithms. Journal of Personalized Medicine, 12(6), 990.
https://doi.org/10.3390/jpm12060990