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使用大型语言模型在药物处方中使用零和少量射击命名实体识别和文本扩展

Natthanaphop Isaradech1, Andrea Riedel2, Wachiranun Sirikul3

  • 1Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Thailand; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.

Artificial intelligence in medicine
|July 2, 2025
PubMed
概括

大型语言模型 (LLM) 可以构建和扩展电子健康记录 (EHR) 的自由文本药物数据. 通过使用ChatGPT3.5进行几次拍摄的方法,显著提高了命名实体识别 (NER) 和文本扩展 (EX) 的准确性.

关键词:
药物处方 药物处方 药物处方电子健康记录电子健康记录大型语言模型.自然语言处理自然语言处理.

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