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Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system

dc.contributor.authorJacobsen Jardim, Patricia Sofia
dc.contributor.authorRose, Christopher James
dc.contributor.authorAmes, Heather Melanie R
dc.contributor.authorEchavez, Jose Francisco Meneses
dc.contributor.authorvan de Velde, Stijn Rita Patrick
dc.contributor.authorMuller, Ashley Elizabeth
dc.date.accessioned2022-09-19T08:17:09Z
dc.date.available2022-09-19T08:17:09Z
dc.date.created2022-06-08T11:45:46Z
dc.date.issued2022
dc.identifier.citationBMC Medical Research Methodology. 2022, 22 (167), 1-12.
dc.identifier.issn1471-2288
dc.identifier.urihttps://hdl.handle.net/11250/3018751
dc.language.isoeng
dc.titleAutomating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system
dc.title.alternativeAutomating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-12
dc.source.volume22
dc.source.journalBMC Medical Research Methodology
dc.source.issue167
dc.identifier.doi10.1186/s12874-022-01649-y
dc.identifier.cristin2030197
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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