Journal
JAMIA Open
Publication Date
10-1-2024
Volume
7
Issue
3
First Page
ooae060
Document Type
Open Access Publication
DOI
10.1093/jamiaopen/ooae060
Rights and Permissions
Kriti Bhattarai, Inez Y Oh, Jonathan Moran Sierra, Jonathan Tang, Philip R O Payne, Zach Abrams, Albert M Lai, Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: a performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B, and spaCy’s rule-based and machine learning-based methods, JAMIA Open, Volume 7, Issue 3, October 2024, ooae060, https://doi.org/10.1093/jamiaopen/ooae060. https://academic.oup.com/jamiaopen/article/7/3/ooae060/7705527?login=true. © The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Recommended Citation
Bhattarai, Kriti; Oh, Inez Y; Sierra, Jonathan Moran; Tang, Jonathan; Payne, Philip R O; Abrams, Zach; and Lai, Albert M, "Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: A performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B, and spaCy's rule-based and machine learning-based methods." JAMIA Open. 7, 3. ooae060 (2024).
https://digitalcommons.wustl.edu/oa_4/3915
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
