Torres-Salomón, P.; RodrÃguez-Capitán, J.; Molina-Cabello, M.A.; Thurnhofer-Hemsi, K.; Costa, F.; Sánchez-Fernández, P.L.; Muñoz-Muñoz, M.A.; Carmona-Segovia, A.d.M.; Romero-Cuevas, M.; Pavón-Morón, F.J.;
et al. Exploring the Prognostic Impact of Non-Obstructive Coronary Artery Lesions through Machine Learning. Appl. Sci. 2024, 14, 9079.
https://doi.org/10.3390/app14199079
AMA Style
Torres-Salomón P, RodrÃguez-Capitán J, Molina-Cabello MA, Thurnhofer-Hemsi K, Costa F, Sánchez-Fernández PL, Muñoz-Muñoz MA, Carmona-Segovia AdM, Romero-Cuevas M, Pavón-Morón FJ,
et al. Exploring the Prognostic Impact of Non-Obstructive Coronary Artery Lesions through Machine Learning. Applied Sciences. 2024; 14(19):9079.
https://doi.org/10.3390/app14199079
Chicago/Turabian Style
Torres-Salomón, Pablo, Jorge RodrÃguez-Capitán, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Francesco Costa, Pedro L. Sánchez-Fernández, Mario Antonio Muñoz-Muñoz, Ada del Mar Carmona-Segovia, Miguel Romero-Cuevas, Francisco Javier Pavón-Morón,
and et al. 2024. "Exploring the Prognostic Impact of Non-Obstructive Coronary Artery Lesions through Machine Learning" Applied Sciences 14, no. 19: 9079.
https://doi.org/10.3390/app14199079
APA Style
Torres-Salomón, P., RodrÃguez-Capitán, J., Molina-Cabello, M. A., Thurnhofer-Hemsi, K., Costa, F., Sánchez-Fernández, P. L., Muñoz-Muñoz, M. A., Carmona-Segovia, A. d. M., Romero-Cuevas, M., Pavón-Morón, F. J., & Jiménez-Navarro, M.
(2024). Exploring the Prognostic Impact of Non-Obstructive Coronary Artery Lesions through Machine Learning. Applied Sciences, 14(19), 9079.
https://doi.org/10.3390/app14199079
