[Performance of a prompt engineering method for extracting individual risk factors of precocious puberty from electronic medical records]
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Objectives: Accurate identification of risk factors for precocious puberty is essential for clinical diagnosis and management, yet the performance of natural language processing methods applied to unstructured electronic medical ... ...
