Extracting patient reported cannabis use and reasons for use from electronic health records: a benchmarking study of large language models.
- DOI
- 10.64898/2026.03.06.26347824
- Published
- 2026 Jun 22
- Container
- medRxiv : the preprint server for health sciences
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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:10.64898/2026.03.06.26347824,
title = {Extracting patient reported cannabis use and reasons for use from electronic health records: a benchmarking study of large language models.},
author = {Wang Y and Bozkurt S and Le N and Alagappan A and Huang CY and Rajwal S and Lewis A and Kim J and Falasinnu T},
year = {2026},
journal = {medRxiv : the preprint server for health sciences},
doi = {10.64898/2026.03.06.26347824},
url = {https://doi.org/10.64898/2026.03.06.26347824}
}RIS
TY - JOUR TI - Extracting patient reported cannabis use and reasons for use from electronic health records: a benchmarking study of large language models. AU - Wang Y AU - Bozkurt S AU - Le N AU - Alagappan A AU - Huang CY AU - Rajwal S AU - Lewis A AU - Kim J AU - Falasinnu T PY - 2026 JO - medRxiv : the preprint server for health sciences DO - 10.64898/2026.03.06.26347824 UR - https://doi.org/10.64898/2026.03.06.26347824 ER -
APA
Y, W., S, B., N, L., A, A., CY, H., S, R., A, L., J, K., & T, F. (2026). Extracting patient reported cannabis use and reasons for use from electronic health records: a benchmarking study of large language models.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.03.06.26347824
Source records
- pubmed · retrieved 2026-09-25T10:51:00.397Z