Machine learning reduced workload with minimal risk of missing studies: development and evaluation o...
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
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Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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Scope and Contents
Contents
AbstractObjectivesThis study developed, calibrated, and evaluated of a machine learning classifier designed to reduce study identification workload in Cochrane for producing systematic reviews. MethodsA machine learning classifier for retrieving randomized controlled trials (RCTs) was developed (the “Cochrane RCT Classifier”), with the algorithm tr...
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Full title
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8168828
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8168828
Other Identifiers
ISSN
0895-4356
E-ISSN
1878-5921
DOI
10.1016/j.jclinepi.2020.11.003
