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...

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Detalles Bibliográficos
Autores principales: Chen, Robert, Ho, Joyce C., Lin, Jin-Mann S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
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

Internet

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

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