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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society of Medical Informatics
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3324751/ https://www.ncbi.nlm.nih.gov/pubmed/22509470 http://dx.doi.org/10.4258/hir.2012.18.1.18 |