Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools

BACKGROUND: We explored the performance of three machine learning tools designed to facilitate title and abstract screening in systematic reviews (SRs) when used to (a) eliminate irrelevant records (automated simulation) and (b) complement the work of a single reviewer (semi-automated simulation). W...

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Bibliographische Detailangaben
Veröffentlicht in:Syst Rev
Hauptverfasser: Gates, Allison, Guitard, Samantha, Pillay, Jennifer, Elliott, Sarah A., Dyson, Michele P., Newton, Amanda S., Hartling, Lisa
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2019
Schlagworte:
Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6857345/
https://ncbi.nlm.nih.gov/pubmed/31727150
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13643-019-1222-2
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