Using natural language processing to extract carotid stenosis severity from clinical notes to create a nationwide veteran cohort.
- DOI
- 10.1016/j.jvsvi.2025.100302
- Published
- 2025 Oct 31
- Container
- JVS-vascular insights
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jvsvi.2025.100302,
title = {Using natural language processing to extract carotid stenosis severity from clinical notes to create a nationwide veteran cohort.},
author = {Lee KM and Alba PR and Biagetti GM and Gao A and Yin M and Danilov PN and DiNatale T and Perez C and Hartmann K and Shakt GE and Judy RL and Bellomo TR and Pridgen KM and Tsao PS and Balasundaram N and Levin MG and Damrauer SM and Lynch JA},
year = {2025},
journal = {JVS-vascular insights},
doi = {10.1016/j.jvsvi.2025.100302},
url = {https://doi.org/10.1016/j.jvsvi.2025.100302}
}RIS
TY - JOUR TI - Using natural language processing to extract carotid stenosis severity from clinical notes to create a nationwide veteran cohort. AU - Lee KM AU - Alba PR AU - Biagetti GM AU - Gao A AU - Yin M AU - Danilov PN AU - DiNatale T AU - Perez C AU - Hartmann K AU - Shakt GE AU - Judy RL AU - Bellomo TR AU - Pridgen KM AU - Tsao PS AU - Balasundaram N AU - Levin MG AU - Damrauer SM AU - Lynch JA PY - 2025 JO - JVS-vascular insights DO - 10.1016/j.jvsvi.2025.100302 UR - https://doi.org/10.1016/j.jvsvi.2025.100302 ER -
APA
KM, L., PR, A., GM, B., A, G., M, Y., PN, D., T, D., C, P., K, H., GE, S., RL, J., TR, B., KM, P., PS, T., N, B., MG, L., SM, D., & JA, L. (2025). Using natural language processing to extract carotid stenosis severity from clinical notes to create a nationwide veteran cohort.. JVS-vascular insights. https://doi.org/10.1016/j.jvsvi.2025.100302
Source records
- pubmed · retrieved 2026-09-27T07:02:06.223Z