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Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
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相关实验视频

Updated: Jun 14, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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CMCN:使用持续学习和知识增强的中医概念规范化.

Pu Han1, Xiong Li2, Zhanpeng Zhang2

  • 1School of Management, Nanjing University of Posts & Telecommunications, Nanjing 210003, China; Jiangsu Provincial Key Laboratory of Data Engineering and Knowledge Service, Nanjing 210023, China.

Artificial intelligence in medicine
|September 6, 2024
PubMed
概括

中国医学概念规范化 (CMCN) 使用新型深度学习模型进行了改进. 这种方法增强了信息提取,以便更好地进行生物医学研究,并将AI整合到医疗保健中.

关键词:
持续的学习 持续的学习深度学习是一种深度学习.医学概念的规范化 医学概念的规范化

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相关实验视频

Last Updated: Jun 14, 2025

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科学领域:

  • 生物医学信息学 生物医学信息学
  • 自然语言处理自然语言处理.
  • 人工智能在医学中的应用

背景情况:

  • 医学概念规范化 (MCN) 对生物医学研究至关重要,但由于语言复杂性和资源短缺,中国MCN (CMCN) 滞后.
  • 深度学习在复杂的NLP任务中表现出色,显示出专门的生物医学知识发现的前景.

研究的目的:

  • 通过深度学习推进中医概念规范化 (CMCN).
  • 开发和评估一种改进CMCN的新型模型,重点是疾病名称.

主要方法:

  • 开发了一种包含多态语义信息的深度学习模型.
  • 雇佣多任务学习以增强知识和持续学习以保持关键的医疗特征.
  • 专注于疾病名称作为CMCN的核心组成部分.

主要成果:

  • 性能最好的模型,GCBM-BSCL,在自建的中国疾病数据集上实现了76.12%的准确性@1,87.20%的准确性@5和90.02%的准确性@10.
  • 证明了为CMCN提出的深度学习方法的有效性.

结论:

  • 这项研究显著推进了CMCN,知识挖掘和医疗领域的AI应用.
  • 开发的模型为处理中文医学文本提供了强大的解决方案.