MACHINE LEARNING IN PRIMARY BILIARY CHOLANGITIS: A NOVEL APPROACH FOR RISK STRATIFICATION

Alessio Gerussi  1     Damiano Verda  2     Davide Paolo Bernasconi  2     Marco Carbone  2     Atsumasa Komori  3     Masanori Abe  4     Mie Inao  5     Tadashi Namisaki  6     Satoshi Mochida  6     Hitoshi Yoshiji  6     Gideon Hirschfield  7     Albert Pares  8     Christophe Corpechot  9     Nora Cazzagon  10     Annarosa Floreani  11     Domenico Alvaro  12     Umberto Vespasiani-Gentilucci  13     Laura Cristoferi  13     Maria Grazia Valsecchi  13     Marco Muselli  13     Bettina Elisabeth Hansen  13     Atsushi Tanaka  14     Pietro Invernizzi  14     Keith D. Lindor  15     Marco Marzioni  16    
1 University of Milano-Bicocca, Monza, Italy
2 Rulex Inc., Newton, United States
3 Clinical Research Center, National Hospital Organization (NHO) Nagasaki Medical Center, Nagasaki, Japan
4 Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Ehime, Japan
5 Department of Gastroenterology and Hepatology, Faculty of Medicine, Saitama Medical University, Saitama, Japan
6 Department of Gastroenterology, Nara Medical University, Nara, Japan
7 Toronto Centre for Liver Disease, Toronto Western & General Hospital, University Health Network, Toronto, Canada
8 Liver Unit, Hospital Clínic, CIBERehd, IDIBAPS, University of Barcelona, Barcelona, Spain
9 Hôpital Saint-Antoine, Paris, France
10 University of Padova Dept. of Gastroenterology, Padova, Italy
11 Università di Padova, Padova, Italy
12 Sapienza University of Rome, Roma, Italy
13 Clinical Medicine and Hepatology Unit, Campus Bio-Medico University of Rome, Rome, Italy
14 Department of Medicine, Teikyo University School of Medicine, Tokyo, Japan
15 Division of Gastroenterology and Hepatology, Mayo Clinic, Phoenix, United States
16 Università Politecnica delle Marche, Ancona, Italy

Topic
Hepatobiliary

Conference
UEG Week Virtual 2021

Citation
United European Gastroenterology Journal 2021; 9 (Supplement 8)


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