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Updated: Jan 18, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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从癌症中从电子健康记录中提取信息的自然语言处理的性能:系统审查

Simon Dahl1,2, Martin Bøgsted1,2,3, Tomer Sagi4

  • 1Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs Vej 249, Gistrup, 9260, Denmark, +45 99407244.

JMIR medical informatics
|September 12, 2025
PubMed
概括

自然语言处理 (NLP) 有效地从临床文本中提取癌症信息. 双向变压器 (BT) 模型在癌症研究中明显优于其他NLP方法,其实施率持续增加.

关键词:
这是一个双向变压器.临床文本数据 临床文本数据提取信息 提取信息自然语言处理自然语言处理.神经网络的神经网络的神经网络业绩表现表现的表现表现是什么审查 审查 审查 审查 审查 审查基于规则的解决方案传统的机器学习.

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