Zero and Few Short Learning Using Large Language Models for De-Identification of Medical Records
The paper aims to evaluate and provide a comparative analysis of the performance and fine-tuning cost of various Large Language Models (LLMs) such as GPT-3.5, GPT-4, PaLM, Bard, and Llama in automating the de-identification of Protected Health Information (PHI) from medical records, ensuring patient...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10630540/ |
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