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Comparison of local large language models for extraction of signs and symptoms data from electronic health records
2025-12-16
health informatics
Title + abstract only
View on medRxiv
Show abstract
Electronic health records (EHRs) provide a large source of data that can be used for research purposes. Extraction of information from unstructured clinical notes in EHRs can be automated by large language models (LLMs). Although LLMs are promising for this task, challenges remain in reliable application of LLMs to EHR, including the lack of development and validation for languages other than English. Here, we identified Dutch LLMs and compared their performance in a case study. We selected the ...
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