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Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study

dc.contributor.authorLee, Jennyes_ES
dc.contributor.authorWestphal, Maxes_ES
dc.contributor.authorVali, Yasamanes_ES
dc.contributor.authorBoursier, Jeromees_ES
dc.contributor.authorPetta, Salvatorrees_ES
dc.contributor.authorOstroff, Racheles_ES
dc.contributor.authorAlexander, Leighes_ES
dc.contributor.authorChen, Yues_ES
dc.contributor.authorFournier, Celinees_ES
dc.contributor.authorGeier, Andreases_ES
dc.contributor.authorFrancque, Svenes_ES
dc.contributor.authorWonders, Kristyes_ES
dc.contributor.authorTiniakos, Dinaes_ES
dc.contributor.authorBedossa, Pierrees_ES
dc.contributor.authorAllison, Mikees_ES
dc.contributor.authorPapatheodoridis, Georgioses_ES
dc.contributor.authorCortez-Pinto, Helenaes_ES
dc.contributor.authorPais, Ralucaes_ES
dc.contributor.authorCrespo García, Javier es_ES
dc.contributor.authorDufour, Jean-Francoises_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-08-07T11:04:24Z
dc.date.available2023-08-07T11:04:24Z
dc.date.issued2023es_ES
dc.identifier.issn0270-9139es_ES
dc.identifier.issn1527-3350es_ES
dc.identifier.urihttps://hdl.handle.net/10902/29633
dc.description.sponsorshipACKNOWLEDGMENTS: The full list of LITMUS investigators is available in Supplemental Table S1, http://links.lww.com/HEP/ H625. FUNDING INFORMATION: The LITMUS project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 777377. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA. Sven Francque holds a senior clinical investigator fellowship from the Research Foundation Flanders (FWO) (1802154N)es_ES
dc.format.extent14 p.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Association for the Study of Liver Diseaseses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceHepatology, 2023, 78(1), 258-271es_ES
dc.titleMachine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1097/HEP.0000000000000364es_ES
dc.type.versionpublishedVersiones_ES


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