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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorKui, Balázs
dc.contributor.authorPintér, József
dc.contributor.authorMolontay, Roland
dc.contributor.authorNagy, Marcell
dc.contributor.authorFarkas, Nelli
dc.contributor.authorGede, Noémi
dc.contributor.authorPando Rau, Elizabeth
dc.contributor.authorAlberti Delgado, Piero Arturo
dc.contributor.authorGomez Jurado, Maria Jose
dc.date.accessioned2022-09-09T08:31:53Z
dc.date.available2022-09-09T08:31:53Z
dc.date.issued2022-06
dc.identifier.citationKui 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.issn2001-1326
dc.identifier.urihttp://hdl.handle.net/11351/8098
dc.descriptionPancreatitis aguda; Intel·ligència artificial; Predicció de la gravetat
dc.description.sponsorshipUniversity 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.isoeng
dc.publisherWiley
dc.relation.ispartofseriesClinical and Translational Medicine;12(6)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectPancreatitis - Diagnòstic
dc.subjectIntel·ligència artificial - Aplicacions a la medicina
dc.subject.meshPancreatitis
dc.subject.mesh/diagnosis
dc.subject.meshArtificial Intelligence
dc.titleEASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1002/ctm2.842
dc.subject.decspancreatitis
dc.subject.decs/diagnóstico
dc.subject.decsinteligencia artificial
dc.relation.publishversionhttps://doi.org/10.1002/ctm2.842
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut 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.pmid35653504
dc.identifier.wos000804849400001
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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