MACHINE LEARNING APPROACH IN THE STARK INTERNATIONAL STUDY: GRADIENT BOOSTING OUTPERFORMS LOGISTIC REGRESSION TO PREDICT POST-ERCP PANCREATITIS
Livia Archibugi 1
Gianmarco Ciarfaglia 2
Karina Cárdenas-Jaén 3
Goran Poropat 4
Taija Korpela 5
Patrick Maisonneuve 6
Jose Ramon Aparicio Tormo 7
Juan Antonio Casella y Casellas 8
Paolo Giorgio Arcidiacono 9
Alberto Mariani 10
Davor Stimac 11
Goran Hauser 12
Marianne Udd 13
Leena Kylänpää 13
Mia Rainio 14
Emilio Di Giulio 15
Giuseppe Vanella 15
Matthias Löhr 16
Roberto Valente 17
Urban Arnelo 18
Niklas Fagerström 18
Nicolò de Pretis 19
Armando Gabbrielli 19
Lorenzo Brozzi 20
Gabriele Capurso 21
Enrique de-Madaria 22
1 IRCCS San Raffaele Hospital, Milan, Italy
2 N/A, Milan, Italy
3 General University Hospital of Alicante, Alicante, Spain
4 Clinical Hospital Center Rijeka, Rijeka, Croatia
5 Helsinki University Central Hospital, Helsinki, Finland
6 IEO, Milan, Italy
7 Alicante Institute for Health and Biomedical Research, Alicante, Spain
8 Hospital General Universitario, Alicante, Spain
9 Ospedale San Raffaele, Milan, Italy
10 San Raffaele Hospital, Milano, Italy
11 University Hospital Rijeka, Rijeka, Croatia
12 Clinical Hospital Centre, Rijeka, Croatia
13 University of Helsinki, Helsinki, Finland
14 Helsinki University Hospital and University of Helsinki, Helsinki, Finland
15 Ospedale Sant'Andrea, Roma, Italy
16 Karolinska Institutet, Stockholm, Sweden
17 Karolinska University Hospital and Karolinska Institutet, Department of Surgery CLINTEC, Stockholm, Sweden
18 Karolinska Institutet, CLINTEC, Division of Surgery, Stockholm, Sweden
19 University of Verona, Verona, Italy
20 Gastroenterology and Digestive Endoscopy Unit, The Pancreas Institute, G.B. Rossi University Hospita, Verona, Italy
21 San Raffaele Scientific Institute Irccs, Rome, Italy
22 Hospital General Universitario de Alicante, Alicante, Spain
Session
Endoscopy and imaging (Posters)
Conference
UEG Week Virtual 2020
Citation
United European Gastroenterology Journal 2020; 8 (Supplement 1)
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