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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jardim, Patricia Sofia Jacobsen, Rose, Christopher James, Ames, Heather Melanie, Echavez, Jose Francisco Meneses, Van de Velde, Stijn, Muller, Ashley Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

Ejemplares similares