Assessing the Feasibility and Acceptability of a Bespoke Large Language Model Pipeline to Extract Data From Different Study Designs for Public Health Evidence Reviews
- DOI
- 10.1002/cesm.70061
- Published
- 2025-11
- Container
- Cochrane Evidence Synthesis and Methods
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/cesm.70061,
title = {Assessing the Feasibility and Acceptability of a Bespoke Large Language Model Pipeline to Extract Data From Different Study Designs for Public Health Evidence Reviews},
author = {Zalaya Simmons and Beti Evans and Tamsyn Harris and Harry Woolnough and Lauren Dunn and Jonathon Fuller and Kerry Cella and Daphne Duval},
year = {2025},
journal = {Cochrane Evidence Synthesis and Methods},
doi = {10.1002/cesm.70061},
url = {https://doi.org/10.1002/cesm.70061}
}RIS
TY - JOUR TI - Assessing the Feasibility and Acceptability of a Bespoke Large Language Model Pipeline to Extract Data From Different Study Designs for Public Health Evidence Reviews AU - Zalaya Simmons AU - Beti Evans AU - Tamsyn Harris AU - Harry Woolnough AU - Lauren Dunn AU - Jonathon Fuller AU - Kerry Cella AU - Daphne Duval PY - 2025 JO - Cochrane Evidence Synthesis and Methods DO - 10.1002/cesm.70061 UR - https://doi.org/10.1002/cesm.70061 ER -
APA
Simmons, Z., Evans, B., Harris, T., Woolnough, H., Dunn, L., Fuller, J., Cella, K., & Duval, D. (2025). Assessing the Feasibility and Acceptability of a Bespoke Large Language Model Pipeline to Extract Data From Different Study Designs for Public Health Evidence Reviews. Cochrane Evidence Synthesis and Methods. https://doi.org/10.1002/cesm.70061
Source records
- crossref · retrieved 2026-09-25T17:39:30.033Z