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Improving the Performance of Text Categorization Models used for the Selection of High Quality Articles
OBJECTIVES: Machine learning systems can considerably reduce the time and effort needed by experts to perform new systematic reviews (SRs). This study investigates categorization models, which are trained on a combination of included and commonly excluded articles, which can improve performance by i...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Korean Society of Medical Informatics
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3324751/ https://ncbi.nlm.nih.gov/pubmed/22509470 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2012.18.1.18 |
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