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...

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Detalles Bibliográficos
Autores principales: Gates, Allison, Gates, Michelle, Sim, Shannon, Elliott, Sarah A., Pillay, Jennifer, Hartling, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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