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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...
Kaydedildi:
| Yayımlandı: | Syst Rev |
|---|---|
| Asıl Yazarlar: | , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2019
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| Konular: | |
| Online Erişim: | 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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