Automatic removal of identifying information in official EU languages for public administrations : the MAPA Project

Autor: Gianola, Lucie, Ajausks, Eriks, Arranz, Victoria, Bendahman, Chomicha, Bié, Laurent, Borg, Claudia, Cerdà, Aleix, Choukri, Khalid, Cuadros, Montse, de Gibert, Ona, Degroote, Hans, Edelman, Elena, Etchegoyhen, Thierry, Franco Torres, Ángela, García de Hernández, Mercedes, García-Pablos, Aitor, Gatt, Albert, Grouin, Cyril, Herranz, Manuel, Kohan, Alejandro, Lavergne, Thomas, Melero, Maite, Paroubek, Patrick, Rigault, Mickaël, Rosner, Michael, Rozis, Roberts, van der Plas, Lonneke, Viksna, Rinalds, Zweigenbaum, Pierre, International Conference on Legal Knowledge and Information Systems

The European MAPA (Multilingual Anonymisation for Public Administrations) project aims at developing an open-source solution for automatic de-identification of medical and legal documents. We introduce here the context, partners and aims of the proje

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3549::400257287638bf42cc43476223487872
https://www.um.edu.mt/library/oar/handle/123456789/70771

R3-AFP score is a new composite tool to refine prediction of hepatocellular carcinoma recurrence after liver transplantation

Autor: Charlotte Costentin, Federico Piñero, Helena Degroote, Andrea Notarpaolo, Ilka F. Boin, Karim Boudjema, Cinzia Baccaro, Luis G. Podestá, Philippe Bachellier, Giuseppe Maria Ettorre, Jaime Poniachik, Fabrice Muscari, Fabrizio Dibenedetto, Sergio Hoyos Duque, Ephrem Salame, Umberto Cillo, Sebastian Marciano, Claire Vanlemmens, Stefano Fagiuoli, Patrizia Burra, Hans Van Vlierberghe, Daniel Cherqui, Quirino Lai, Marcelo Silva, Fernando Rubinstein, Christophe Duvoux, Filomena Conti, Olivier Scatton, Pierre Henri Bernard, Claire Francoz, Francois Durand, Sébastien Dharancy, Marie-lorraine Woehl, Alexis Laurent, Sylvie Radenne, Jérôme Dumortier, Armand Abergel, Louise Barbier, Pauline Houssel-Debry, Georges Philippe Pageaux, Laurence Chiche, Victor Deledinghen, Jean Hardwigsen, J. Gugenheim, M. Altieri, Marie Noelle Hilleret, Thomas Decaens, Aline Chagas, Paulo Costa, Elaine Cristina de Ataide, Emilio Quiñones, Sebastián Marciano, Margarita Anders, Adriana Varón, Alina Zerega, Alejandro Soza, Martín Padilla Machaca, Diego Arufe, Josemaría Menéndez, Rodrigo Zapata, Mario Vilatoba, Linda Muñoz, Ricardo Chong Menéndez, Martín Maraschio, Lucas McCormack, Juan Mattera, Adrian Gadano, Ilka S.F. Fatima Boin, Jose Huygens Parente García, Flair Carrilho, Giulia Magini, Lucia Miglioresi, Martina Gambato, Fabrizio Di Benedetto, Cecilia D’Ambrosio, Alessandro Vitale, Michele Colledan, Domenico Pinelli, Paolo Magistri, Giovanni Vennarecci, Marco Colasanti, Valerio Giannelli, Adriano Pellicelli, Cizia Baccaro, Callebout Eduard, Iesari Samuele, Dekervel Jeroen, Schreiber Jonas, Pirenne Jacques, Verslype Chris, Ysebaert Dirk, Michielsen Peter, Lucidi Valerio, Moreno Christophe, Detry Olivier, Delwaide Jean, Troisi Roberto, Lerut Jan Paul

Publikováno v: JHEP REPORTS
JHEP Reports Innovation in Hepatology
JHEP Reports Innovation in Hepatology, 2022, 4 (5), pp.100445. ⟨10.1016/j.jhepr.2022.100445⟩

Background & Aims: Patients with hepatocellular carcinoma (HCC) are selected for liver transplantation (LT) based on pre-LT imaging +/- alpha-foetoprotein (AFP) level, but discrepancies between pre-LT tumour assessment and explant are frequent. Our a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d299eaa3c1a68bb8a9a590f909ca9a90
http://hdl.handle.net/11577/3444768