Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study
Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
Web applications that employ natural language processing technologies to support systematic reviewers during abstract screening have become more common. The goal of our project was to conduct a case study to explore a screening approach that temporarily replaces a human screener with a semi-automated screening tool.
We evaluated the accuracy of...
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Full title
Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study
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TN_cdi_doaj_primary_oai_doaj_org_article_946b15cf9fd34e1d8a63f9e6fd1b0d93
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_946b15cf9fd34e1d8a63f9e6fd1b0d93
Other Identifiers
ISSN
2046-4053
E-ISSN
2046-4053
DOI
10.1186/s13643-019-1221-3
