dc.contributor | Vall d'Hebron Barcelona Hospital Campus |
dc.contributor.author | Kui, Balázs |
dc.contributor.author | Pintér, József |
dc.contributor.author | Molontay, Roland |
dc.contributor.author | Nagy, Marcell |
dc.contributor.author | Farkas, Nelli |
dc.contributor.author | Gede, Noémi |
dc.contributor.author | Pando Rau, Elizabeth |
dc.contributor.author | Alberti Delgado, Piero Arturo |
dc.contributor.author | Gomez Jurado, Maria Jose |
dc.date.accessioned | 2022-09-09T08:31:53Z |
dc.date.available | 2022-09-09T08:31:53Z |
dc.date.issued | 2022-06 |
dc.identifier.citation | Kui B, Pintér J, Molontay R, Nagy M, Farkas N, Gede N, et al. EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis. Clin Transl Med. 2022 Jun;12(6):e842. |
dc.identifier.issn | 2001-1326 |
dc.identifier.uri | https://hdl.handle.net/11351/8098 |
dc.description | Pancreatitis aguda; Intel·ligència artificial; Predicció de la gravetat |
dc.description.sponsorship | University of Pécs Medical School Research Fund. Grant Number: 300909. National Research, Development and Innovation Office Research Fund. Grant Numbers: K131996, FK131864, K128222, FK124632 |
dc.language.iso | eng |
dc.publisher | Wiley |
dc.relation.ispartofseries | Clinical and Translational Medicine;12(6) |
dc.rights | Attribution 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
dc.source | Scientia |
dc.subject | Pancreatitis - Diagnòstic |
dc.subject | Intel·ligència artificial - Aplicacions a la medicina |
dc.subject.mesh | Pancreatitis |
dc.subject.mesh | /diagnosis |
dc.subject.mesh | Artificial Intelligence |
dc.title | EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis |
dc.type | info:eu-repo/semantics/article |
dc.identifier.doi | 10.1002/ctm2.842 |
dc.subject.decs | pancreatitis |
dc.subject.decs | /diagnóstico |
dc.subject.decs | inteligencia artificial |
dc.relation.publishversion | https://doi.org/10.1002/ctm2.842 |
dc.type.version | info:eu-repo/semantics/publishedVersion |
dc.audience | Professionals |
dc.contributor.organismes | Institut Català de la Salut |
dc.contributor.authoraffiliation | [Kui B] Department of Medicine, University of Szeged, Szeged, Hungary. Centre for Translational Medicine, Department of Medicine, University of Szeged, Szeged, Hungary. [Pintér J, Nagy M] Department of Stochastics, Institute of Mathematics, Budapest University of Technology and Economics, Budapest, Hungary. [Molontay R] Department of Stochastics, Institute of Mathematics, Budapest University of Technology and Economics, Budapest, Hungary. MTA-BME Stochastics Research Group, Budapest, Hungary. [Farkas N] Institute for Translational Medicine, Szentágothai Research Centre, Medical School, University of Pécs, Pécs, Hungary. Institute of Bioanalysis, Medical School, University of Pécs, Pécs, Hungary. [Gede N] Institute for Translational Medicine, Szentágothai Research Centre, Medical School, University of Pécs, Pécs, Hungary. [Pando E, Alberti P, Gómez-Jurado MJ] Servei de Cirurgia Hepatobiliopancreàtica i Trasplantaments, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain |
dc.identifier.pmid | 35653504 |
dc.identifier.wos | 000804849400001 |
dc.rights.accessrights | info:eu-repo/semantics/openAccess |