Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study
- DOI
- 10.2196/81644
- Published
- 2026-06-10
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/81644,
title = {Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study},
author = {Fangwen Zhou and Ashirbani Saha and Muhammad Afzal and Rick Parrish and R Brian Haynes and Alfonso Iorio and Cynthia Lokker},
year = {2026},
journal = {JMIR Medical Informatics},
doi = {10.2196/81644},
url = {https://doi.org/10.2196/81644}
}RIS
TY - JOUR TI - Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study AU - Fangwen Zhou AU - Ashirbani Saha AU - Muhammad Afzal AU - Rick Parrish AU - R Brian Haynes AU - Alfonso Iorio AU - Cynthia Lokker PY - 2026 JO - JMIR Medical Informatics DO - 10.2196/81644 UR - https://doi.org/10.2196/81644 ER -
APA
Zhou, F., Saha, A., Afzal, M., Parrish, R., Haynes, R. B., Iorio, A., & Lokker, C. (2026). Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study. JMIR Medical Informatics. https://doi.org/10.2196/81644
Source records
- crossref · retrieved 2026-09-24T19:31:27.042Z