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基于本体学增强的大型语言模型构建罕见疾病知识图的自动和端到端系统:发展研究研究

Lang Cao1, Jimeng Sun1, Adam Cross2

  • 1Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, United States.

JMIR medical informatics
|December 18, 2024
PubMed
概括

自动罕见病挖掘 (AutoRD) 通过将大型语言模型与本体学集成,从医学文本中改进罕见病识别. 该系统增强了用于研究和临床试验的患者识别,克服了当前方法的局限性.

关键词:
临床信息学 临床信息学在法学士 (LLM) 课程中.人工智能的人工智能是人工智能.数据提取数据提取.知识图是知识图.大型语言模型.机器学习是机器学习.自然语言处理自然语言处理.存在的本体学 存在的本体学罕见病是一种罕见的疾病.文本采矿 文本采矿是什么

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