Large Language Models for World Health Organization-Uppsala Monitoring Centre Drug-Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study.
- DOI
- 10.2196/93237
- Published
- 2026 Jul 8
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/93237,
title = {Large Language Models for World Health Organization-Uppsala Monitoring Centre Drug-Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study.},
author = {Ha YM and Kim M and Bang Y and Choi D and Kim JH and Rhie SJ and Noguchi Y and Kim MG},
year = {2026},
journal = {Journal of medical Internet research},
doi = {10.2196/93237},
url = {https://doi.org/10.2196/93237}
}RIS
TY - JOUR TI - Large Language Models for World Health Organization-Uppsala Monitoring Centre Drug-Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study. AU - Ha YM AU - Kim M AU - Bang Y AU - Choi D AU - Kim JH AU - Rhie SJ AU - Noguchi Y AU - Kim MG PY - 2026 JO - Journal of medical Internet research DO - 10.2196/93237 UR - https://doi.org/10.2196/93237 ER -
APA
YM, H., M, K., Y, B., D, C., JH, K., SJ, R., Y, N., & MG, K. (2026). Large Language Models for World Health Organization-Uppsala Monitoring Centre Drug-Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study.. Journal of medical Internet research. https://doi.org/10.2196/93237
Source records
- pubmed · retrieved 2026-09-25T10:32:32.248Z