MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain.
- DOI
- 10.3389/fdata.2024.1371680
- Published
- 2024
- Container
- Frontiers in big data
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fdata.2024.1371680,
title = {MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain.},
author = {Marshan A and Almutairi AN and Ioannou A and Bell D and Monaghan A and Arzoky M},
year = {2024},
journal = {Frontiers in big data},
doi = {10.3389/fdata.2024.1371680},
url = {https://doi.org/10.3389/fdata.2024.1371680}
}RIS
TY - JOUR TI - MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain. AU - Marshan A AU - Almutairi AN AU - Ioannou A AU - Bell D AU - Monaghan A AU - Arzoky M PY - 2024 JO - Frontiers in big data DO - 10.3389/fdata.2024.1371680 UR - https://doi.org/10.3389/fdata.2024.1371680 ER -
APA
A, M., AN, A., A, I., D, B., A, M., & M, A. (2024). MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain.. Frontiers in big data. https://doi.org/10.3389/fdata.2024.1371680
Source records
- pubmed · retrieved 2026-09-25T17:14:13.921Z