Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records
- DOI
- 10.1109/ichi69079.2026.00031
- Published
- 2026-06
- Container
- 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI)
- Publisher
- IEEE
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/ichi69079.2026.00031,
title = {Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records},
author = {Yiyang Liu and Ziyi Chen and Suman Pogul and Hwayoung Cho and Mattia Prosperi and Yonghui Wu},
year = {2026},
journal = {2026 IEEE 14th International Conference on Healthcare Informatics (ICHI)},
doi = {10.1109/ichi69079.2026.00031},
url = {https://doi.org/10.1109/ichi69079.2026.00031}
}RIS
TY - JOUR TI - Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records AU - Yiyang Liu AU - Ziyi Chen AU - Suman Pogul AU - Hwayoung Cho AU - Mattia Prosperi AU - Yonghui Wu PY - 2026 JO - 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI) DO - 10.1109/ichi69079.2026.00031 UR - https://doi.org/10.1109/ichi69079.2026.00031 ER -
APA
Liu, Y., Chen, Z., Pogul, S., Cho, H., Prosperi, M., & Wu, Y. (2026). Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records. 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI). https://doi.org/10.1109/ichi69079.2026.00031
Source records
- crossref · retrieved 2026-09-25T10:29:28.887Z