The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews

BACKGROUND: We investigated the feasibility of using a machine learning tool’s relevance predictions to expedite title and abstract screening. METHODS: We subjected 11 systematic reviews and six rapid reviews to four retrospective screening simulations (automated and semi-automated approaches to sin...

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Detalles Bibliográficos
Autores principales: Gates, Allison, Gates, Michelle, Sebastianski, Meghan, Guitard, Samantha, Elliott, Sarah A., Hartling, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268596/
https://www.ncbi.nlm.nih.gov/pubmed/32493228
http://dx.doi.org/10.1186/s12874-020-01031-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268596/
https://www.ncbi.nlm.nih.gov/pubmed/32493228
http://dx.doi.org/10.1186/s12874-020-01031-w

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