Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4
- DOI
- 10.1177/15578666251411390
- Published
- 2026-01-14
- Container
- Journal of Computational Biology
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/15578666251411390,
title = {Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4},
author = {Ivan Makohon and Mohamad Najafi and Jian Wu and Mathias Brochhausen and Yaohang Li},
year = {2026},
journal = {Journal of Computational Biology},
doi = {10.1177/15578666251411390},
url = {https://doi.org/10.1177/15578666251411390}
}RIS
TY - JOUR TI - Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4 AU - Ivan Makohon AU - Mohamad Najafi AU - Jian Wu AU - Mathias Brochhausen AU - Yaohang Li PY - 2026 JO - Journal of Computational Biology DO - 10.1177/15578666251411390 UR - https://doi.org/10.1177/15578666251411390 ER -
APA
Makohon, I., Najafi, M., Wu, J., Brochhausen, M., & Li, Y. (2026). Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4. Journal of Computational Biology. https://doi.org/10.1177/15578666251411390
Source records
- crossref · retrieved 2026-09-25T21:47:52.649Z