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A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews

dc.contributor.authorMoreno-Garcia, Carlos Francisco
dc.contributor.authorJayne, Chrisina
dc.contributor.authorElyan, Eyad
dc.contributor.authorAceves Martins, Magaly
dc.date.accessioned2023-11-02T00:13:32Z
dc.date.available2023-11-02T00:13:32Z
dc.date.issued2023-03
dc.identifier226586465
dc.identifierc91ab211-b923-4407-af25-0ee4ab276f06
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.otherORCID: /0000-0002-9441-142X/work/127304781
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19890
dc.format.extent9
dc.format.extent913497
dc.language.isoeng
dc.relation.ispartofDecision Analytics Journalen
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.subjectSupplementary Dataen
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.identifier.doihttps://doi.org/10.1016/j.dajour.2023.100162
dc.identifier.vol6en


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