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Creating efficiencies in the extraction of data from randomized trials: a prospective evaluation of a machine learning and text mining tool
BACKGROUND: Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We evaluated a machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extr...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369614/ https://www.ncbi.nlm.nih.gov/pubmed/34399684 http://dx.doi.org/10.1186/s12874-021-01354-2 |