Archibugi, Livia; Ciarfaglia, Gianmarco; Cárdenas-Jaén, Karina; Poropat, Goran; Korpela, Taija; Maisonneuve, Patrick; Aparicio, José R.; Casellas, Juan Antonio; Arcidiacono, Paolo Giorgio; Mariani, Alberto; Štimac, Davor; Hauser, Goran; Udd, Marianne; Kylänpää, Leena; Rainio, Mia; Di Giulio, Emilio; Vanella, Giuseppe; Lohr, Johannes Matthias; Valente, Roberto; Arnelo, Urban; Fagerstrom, Niklas; De Pretis, Nicolò; Gabbrielli, Armando; Brozzi, Lorenzo; Capurso, Gabriele; de-Madaria, EnriqueViše autora...
Citirajte ovaj rad
Archibugi, L., Ciarfaglia, G., Cárdenas Jaén, K., Poropat, G., Korpela, T., Maisonneuve, P. ... de Madaria, E. (2023). Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study. Digestive and Liver Disease, 55. (3), 387-393. doi: 10.1016/j.dld.2022.10.005
Archibugi, Livia, et al. "Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study." Digestive and Liver Disease, vol. 55, br. 3, 2023, str. 387-393. https://doi.org/10.1016/j.dld.2022.10.005
Archibugi, Livia, Gianmarco Ciarfaglia, Karina Cárdenas Jaén, Goran Poropat, Taija Korpela, Patrick Maisonneuve, José R. Aparicio, et al. "Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study." Digestive and Liver Disease 55, br. 3 (2023): 387-393. https://doi.org/10.1016/j.dld.2022.10.005
Archibugi, L., et al. (2023) 'Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study', Digestive and Liver Disease, 55(3), str. 387-393. doi: 10.1016/j.dld.2022.10.005
Archibugi L, Ciarfaglia G, Cárdenas Jaén K, Poropat G, Korpela T, Maisonneuve P, i sur.. Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study. Digestive and Liver Disease [Internet]. 01.03.2023. [pristupljeno 13.02.2025.];55(3):387-393. doi: 10.1016/j.dld.2022.10.005
L. Archibugi, et al., "Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study", Digestive and Liver Disease, vol. 55, br. 3, str. 387-393, Ožujak 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:477780. [Citirano: 13.02.2025.]