Vairo, A.; Russo, C.; Saglietto, A.; Cimino, R.A.; Pocar, M.; Barbero, C.; Costamagna, A.; De Ferrari, G.M.; Rinaldi, M.; Salizzoni, S.
A Machine Learning Approach to Predict Successful Trans-Ventricular Off-Pump Micro-Invasive Mitral Valve Repair. J. Clin. Med. 2025, 14, 5863.
https://doi.org/10.3390/jcm14165863
AMA Style
Vairo A, Russo C, Saglietto A, Cimino RA, Pocar M, Barbero C, Costamagna A, De Ferrari GM, Rinaldi M, Salizzoni S.
A Machine Learning Approach to Predict Successful Trans-Ventricular Off-Pump Micro-Invasive Mitral Valve Repair. Journal of Clinical Medicine. 2025; 14(16):5863.
https://doi.org/10.3390/jcm14165863
Chicago/Turabian Style
Vairo, Alessandro, Caterina Russo, Andrea Saglietto, Rino Andrea Cimino, Marco Pocar, Cristina Barbero, Andrea Costamagna, Gaetano Maria De Ferrari, Mauro Rinaldi, and Stefano Salizzoni.
2025. "A Machine Learning Approach to Predict Successful Trans-Ventricular Off-Pump Micro-Invasive Mitral Valve Repair" Journal of Clinical Medicine 14, no. 16: 5863.
https://doi.org/10.3390/jcm14165863
APA Style
Vairo, A., Russo, C., Saglietto, A., Cimino, R. A., Pocar, M., Barbero, C., Costamagna, A., De Ferrari, G. M., Rinaldi, M., & Salizzoni, S.
(2025). A Machine Learning Approach to Predict Successful Trans-Ventricular Off-Pump Micro-Invasive Mitral Valve Repair. Journal of Clinical Medicine, 14(16), 5863.
https://doi.org/10.3390/jcm14165863