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.
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| Title: | 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. |
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| Authors: | Bhattarai K; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, United States.; Department of Computer Science, Washington University in St Louis, St. Louis, MO 63110, United States., Oh IY; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, United States., Sierra JM; Medical Scientist Training Program, Washington University School of Medicine, St. Louis, MO 63110, United States., Tang J; Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, United States., Payne PRO; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, United States.; Department of Computer Science, Washington University in St Louis, St. Louis, MO 63110, United States., Abrams Z; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, United States., Lai AM; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, United States.; Department of Computer Science, Washington University in St Louis, St. Louis, MO 63110, United States. |
| Source: | JAMIA open [JAMIA Open] 2024 Jul 03; Vol. 7 (3), pp. ooae060. Date of Electronic Publication: 2024 Jul 03 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2574-2531 |
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| DOI: | 10.1093/jamiaopen/ooae060 |
