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

Session
Biomarkers in liver diseases

Conference
UEG Week Virtual 2021

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