Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach

MOTIVATION: Automated extraction of population, intervention, comparison/control, and outcome (PICO) from the randomized controlled trial (RCT) abstracts is important for evidence synthesis. Previous studies have demonstrated the feasibility of applying natural language processing (NLP) for PICO ext...

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Detalles Bibliográficos
Autores principales: Hu, Yan, Keloth, Vipina K, Raja, Kalpana, Chen, Yong, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500081/
https://www.ncbi.nlm.nih.gov/pubmed/37669123
http://dx.doi.org/10.1093/bioinformatics/btad542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500081/
https://www.ncbi.nlm.nih.gov/pubmed/37669123
http://dx.doi.org/10.1093/bioinformatics/btad542

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