Semi-automating abstract screening with a natural language model pretrained on biomedical literature

We demonstrate the performance and workload impact of incorporating a natural language model, pretrained on citations of biomedical literature, on a workflow of abstract screening for studies on prognostic factors in end-stage lung disease. The model was optimized on one-third of the abstracts, and...

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Detalles Bibliográficos
Autores principales: Ng, Sheryl Hui-Xian, Teow, Kiok Liang, Ang, Gary Yee, Tan, Woan Shin, Hum, Allyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517490/
https://www.ncbi.nlm.nih.gov/pubmed/37740227
http://dx.doi.org/10.1186/s13643-023-02353-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517490/
https://www.ncbi.nlm.nih.gov/pubmed/37740227
http://dx.doi.org/10.1186/s13643-023-02353-8

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