Disease Risk Prediction Using Structured EHR Data: Can Generalist Large Language Models Match Specialized Clinical Foundation Models? A Comparative Evaluation with Fine-Tuning
- DOI
- 10.64898/2026.04.24.26351503
- Published
- 2026-05-01
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- openRxiv
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.64898/2026.04.24.26351503,
title = {Disease Risk Prediction Using Structured EHR Data: Can Generalist Large Language Models Match Specialized Clinical Foundation Models? A Comparative Evaluation with Fine-Tuning},
author = {Bingyu Mao and Made K. Prasadha and Ziqian Xie and Jianping He and Michael Ghebranious and Hua Xu and Degui Zhi and Laila Rasmy},
year = {2026},
doi = {10.64898/2026.04.24.26351503},
url = {https://doi.org/10.64898/2026.04.24.26351503}
}RIS
TY - JOUR TI - Disease Risk Prediction Using Structured EHR Data: Can Generalist Large Language Models Match Specialized Clinical Foundation Models? A Comparative Evaluation with Fine-Tuning AU - Bingyu Mao AU - Made K. Prasadha AU - Ziqian Xie AU - Jianping He AU - Michael Ghebranious AU - Hua Xu AU - Degui Zhi AU - Laila Rasmy PY - 2026 DO - 10.64898/2026.04.24.26351503 UR - https://doi.org/10.64898/2026.04.24.26351503 ER -
APA
Mao, B., Prasadha, M. K., Xie, Z., He, J., Ghebranious, M., Xu, H., Zhi, D., & Rasmy, L. (2026). Disease Risk Prediction Using Structured EHR Data: Can Generalist Large Language Models Match Specialized Clinical Foundation Models? A Comparative Evaluation with Fine-Tuning. https://doi.org/10.64898/2026.04.24.26351503
Source records
- crossref · retrieved 2026-09-25T15:43:37.918Z