A LangChain-based pipeline for one-shot synthetic text generation using generative pre-trained transformers in palliative care research
Our work is the first investigation of such a generation method in the nursing home palliative care domain. Further refinement and validation of such data is needed in order to ensure the safe use of our approach.
Authors
- David Murphy (ORCID: https://orcid.org/0000-0002-9685-8292)
- Sabin Tabirca (ORCID: https://orcid.org/0000-0003-0743-8227)
- Mohamad M. Saab (ORCID: https://orcid.org/0000-0002-7277-6268)
- Patrice Crowley (ORCID: https://orcid.org/0009-0007-8540-0204)
- Nicola Cornally (ORCID: https://orcid.org/0000-0003-0644-0026)
- Isabel Ronan (ORCID: https://orcid.org/0009-0004-9325-9237)
- Eva Rombouts
Institutions
- University College Cork (IE)
- Nederlandse Vereniging voor Kindergeneeskunde (NL)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1016/j.jbi.2025.104936
- Citations
- 1
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 2.48