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Automated screening of research studies for systematic reviews using study characteristics
Abstract 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...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2018-04-01
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| Colecção: | Systematic Reviews |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s13643-018-0724-7 |
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