Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study

Archibugi, L (author)

Ciarfaglia, G (author)

Cardenas-Jaen, K (author)

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Poropat, G (author)

Korpela, T (author)

Maisonneuve, P (author)

Aparicio, JR (author)

Casellas, JA (author)

Arcidiacono, PG (author)

Mariani, A (author)

Stimac, D (author)

Hauser, G (author)

Udd, M (author)

Kylanpaa, L (author)

Rainio, M (author)

Di Giulio, E (author)

Vanella, G (author)

Lohr, JM (author)

Karolinska Institutet

Valente, R (author)

Arnelo, U (author)

Fagerstrom, N (author)

Karolinska Institutet

De Pretis, N (author)

Gabbrielli, A (author)

Brozzi, L (author)

Capurso, G (author)

de-Madaria, E (author)

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 (creator_code:org_t)

Elsevier BV, 2023

2023

English.

In: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver. - : Elsevier BV. - 1878-3562. ; 55:3, s. 387-393

Related links:

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• Journal article (peer-reviewed)