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dc.contributor.authorMoreno-Garcia, Carlos Francisco
dc.contributor.authorJayne, Chrisina
dc.contributor.authorElyan, Eyad
dc.contributor.authorAceves Martins, Magaly
dc.date.accessioned2023-01-24T16:11:01Z
dc.date.available2023-01-24T16:11:01Z
dc.date.issued2023-01-12
dc.identifier.citationMoreno-Garcia , C F , Jayne , C , Elyan , E & Aceves Martins , M 2023 , ' A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews ' , Decision Analytics Journal , vol. 6 , 100162 . https://doi.org/10.1016/j.dajour.2023.100162en
dc.identifier.issn2772-6622
dc.identifier.otherPURE: 226586465
dc.identifier.otherPURE UUID: c91ab211-b923-4407-af25-0ee4ab276f06
dc.identifier.otherORCID: /0000-0002-9441-142X/work/127304781
dc.identifier.urihttps://hdl.handle.net/2164/19890
dc.language.isoeng
dc.relation.ispartofDecision Analytics Journalen
dc.rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/license s/by/4.0/).en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectbladder canceren
dc.subjectearly detectionen
dc.subjectbiomarkersen
dc.subjectdiagnostic performanceen
dc.subjectprimary careen
dc.subjectcommunityen
dc.subjectR Medicine (General)en
dc.subject.lccR1en
dc.titleA novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviewsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Rowett Instituteen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1016/j.dajour.2023.100162
dc.identifier.vol6en


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