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Establishment and application of real-world datasets for precocious puberty from electronic health records based on large language models

2026-05-25

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Electronic health records (EHRs) contain rich clinical narratives, but the unstructured nature of this data presents significant barriers to systematic analysis. We aimed to evaluate the performance of an open-source large language model (LLM) for extracting structured information from EHRs and apply the datasets to analyze factors affecting follow-up visits...

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Literature Corpus work
16e640dd-6e5e-5496-9a4e-fd14b1229afd
DOI
10.21203/rs.3.rs-9766806/v1
Open publication

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Establishment and application of real-world datasets for precocious puberty from electronic health records based on large language modelsDOI 10.21203/rs.3.rs-9766806/v1
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