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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
BACKGROUND: Machine learning and automation are increasingly used to make the evidence synthesis process faster and more responsive to policymakers’ needs. In systematic reviews of randomized controlled trials (RCTs), risk of bias assessment is a resource-intensive task that typically requires two t...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174024/ https://www.ncbi.nlm.nih.gov/pubmed/35676632 http://dx.doi.org/10.1186/s12874-022-01649-y |