Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic literature reviews

BACKGROUND: Evidence-based medicine requires synthesis of research through rigorous and time-intensive systematic literature reviews (SLRs), with significant resource expenditure for data extraction from scientific publications. Machine learning may enable the timely completion of SLRs and reduce er...

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Detalles Bibliográficos
Autores principales: Panayi, Antonia, Ward, Katherine, Benhadji-Schaff, Amir, Ibanez-Lopez, A Santiago, Xia, Andrew, Barzilay, Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557215/
https://www.ncbi.nlm.nih.gov/pubmed/37803451
http://dx.doi.org/10.1186/s13643-023-02351-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557215/
https://www.ncbi.nlm.nih.gov/pubmed/37803451
http://dx.doi.org/10.1186/s13643-023-02351-w

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