An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes

BACKGROUND: Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human reviewers, it may accelerate and reduce the screening burden. Using DistillerSR (May...

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Detalles Bibliográficos
Autores principales: Hamel, C., Kelly, S. E., Thavorn, K., Rice, D. B., Wells, G. A., Hutton, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559198/
https://www.ncbi.nlm.nih.gov/pubmed/33059590
http://dx.doi.org/10.1186/s12874-020-01129-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559198/
https://www.ncbi.nlm.nih.gov/pubmed/33059590
http://dx.doi.org/10.1186/s12874-020-01129-1

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