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The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study

dc.contributor.authorMuller, Ashley
dc.contributor.authorBerg, Rigmor
dc.contributor.authorMeneses Echavez, Jose Francisco
dc.contributor.authorAmes, Heather Melanie R
dc.contributor.authorBorge, Tiril Cecilie
dc.contributor.authorJacobsen Jardim, Patricia Sofia
dc.contributor.authorCooper, Chris
dc.contributor.authorRose, Christopher James
dc.date.accessioned2023-02-27T09:32:10Z
dc.date.available2023-02-27T09:32:10Z
dc.date.created2023-01-27T10:46:15Z
dc.date.issued2023
dc.identifier.citationSystematic Reviews. 2023, 12 (7), 1-8.
dc.identifier.issn2046-4053
dc.identifier.urihttps://hdl.handle.net/11250/3054098
dc.language.isoeng
dc.titleThe effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study
dc.title.alternativeThe effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-8
dc.source.volume12
dc.source.journalSystematic Reviews
dc.source.issue7
dc.identifier.doihttps://doi.org/10.1186/s13643-023-02171-y
dc.identifier.cristin2116279
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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