Using text mining for study identification in systematic reviews: a systematic review of current approaches

BACKGROUND: The large and growing number of published studies, and their increasing rate of publication, makes the task of identifying relevant studies in an unbiased way for inclusion in systematic reviews both complex and time consuming. Text mining has been offered as a potential solution: throug...

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Detalles Bibliográficos
Autores principales: O’Mara-Eves, Alison, Thomas, James, McNaught, John, Miwa, Makoto, Ananiadou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320539/
https://www.ncbi.nlm.nih.gov/pubmed/25588314
http://dx.doi.org/10.1186/2046-4053-4-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320539/
https://www.ncbi.nlm.nih.gov/pubmed/25588314
http://dx.doi.org/10.1186/2046-4053-4-5

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