An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study
BackgroundThe study of disease progression relies on clinical data, including text data, and extracting valuable features from text data has been a research hot spot. With the rise of large language models (LLMs), semantic-based extraction pipelines are gaining acceptance in clinical research. Howev...
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| Main Authors: | , , , , |
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| Format: | Book |
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JMIR Publications,
2024-03-01T00:00:00Z.
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Internet
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A1234.567 |
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