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Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
BACKGROUND: Unstructured data from clinical epidemiological studies can be valuable and easy to obtain. However, it requires further extraction and processing for data analysis. Doing this manually is labor-intensive, slow and subject to error. In this study, we propose an automation framework for e...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559204/ https://www.ncbi.nlm.nih.gov/pubmed/33059588 http://dx.doi.org/10.1186/s12874-020-01131-7 |