Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer

BACKGROUND: Meta-analyses aggregate results of different clinical studies to assess the effectiveness of a treatment. Despite their importance, meta-analyses are time-consuming and labor-intensive as they involve reading hundreds of research articles and extracting data. The number of research artic...

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Detalles Bibliográficos
Autores principales: Mutinda, Faith Wavinya, Liew, Kongmeng, Yada, Shuntaro, Wakamiya, Shoko, Aramaki, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206132/
https://www.ncbi.nlm.nih.gov/pubmed/35717167
http://dx.doi.org/10.1186/s12911-022-01897-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206132/
https://www.ncbi.nlm.nih.gov/pubmed/35717167
http://dx.doi.org/10.1186/s12911-022-01897-4

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