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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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| Vydáno v: | Syst Rev |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5918752/ https://ncbi.nlm.nih.gov/pubmed/29695296 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13643-018-0724-7 |
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