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...

Descripción completa

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

Internet

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

Ejemplares similares