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Automated screening of research studies for systematic reviews using study characteristics

BACKGROUND: Screening candidate studies for inclusion in a systematic review is time-consuming when conducted manually. Automation tools could reduce the human effort devoted to screening. Existing methods use supervised machine learning which train classifiers to identify relevant words in the abst...

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Detalles Bibliográficos
Autores principales:	Tsafnat, Guy, Glasziou, Paul, Karystianis, George, Coiera, Enrico
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918752/ https://www.ncbi.nlm.nih.gov/pubmed/29695296 http://dx.doi.org/10.1186/s13643-018-0724-7

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