Data extraction methods for systematic review (semi)automation: Update of a living systematic review

Background: The reliable and usable (semi)automation of data extraction can support the field of systematic review by reducing the workload required to gather information about the conduct and results of the included studies. This living systematic review examines published approaches for data extra...

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Detalles Bibliográficos
Autores principales: Schmidt, Lena, Finnerty Mutlu, Ailbhe N., Elmore, Rebecca, Olorisade, Babatunde K., Thomas, James, Higgins, Julian P. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361807/
https://www.ncbi.nlm.nih.gov/pubmed/34408850
http://dx.doi.org/10.12688/f1000research.51117.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361807/
https://www.ncbi.nlm.nih.gov/pubmed/34408850
http://dx.doi.org/10.12688/f1000research.51117.2

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