Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies
Objectives We propose and test a framework to detect disease diagnosis using a recent large language model (LLM), Meta’s Llama-3-8B, on French-language electronic health record (EHR) documents. Specifically, it focuses on detecting gout (‘goutte’ in French), a ubiquitous French term that has multipl...
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| Main Authors: | Kim Lauper, Denis Mongin, Nils Bürgisser, Samia Mehouachi, Clement P. Buclin, Delphine S. Courvoisier, Etienne Chalot |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2024-12-01
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| Series: | RMD Open |
| Online Access: | https://rmdopen.bmj.com/content/10/4/e005003.full |
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