The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study

BACKGROUND: Machine learning (ML) tools exist that can reduce or replace human activities in repetitive or complex tasks. Yet, ML is underutilized within evidence synthesis, despite the steadily growing rate of primary study publication and the need to periodically update reviews to reflect new evid...

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Detalles Bibliográficos
Autores principales: Muller, Ashley Elizabeth, Berg, Rigmor C., Meneses-Echavez, Jose Francisco, Ames, Heather M. R., Borge, Tiril C., Jardim, Patricia Sofia Jacobsen, Cooper, Chris, Rose, Christopher James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843684/
https://www.ncbi.nlm.nih.gov/pubmed/36650579
http://dx.doi.org/10.1186/s13643-023-02171-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843684/
https://www.ncbi.nlm.nih.gov/pubmed/36650579
http://dx.doi.org/10.1186/s13643-023-02171-y

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