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相关概念视频

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The sympathetic pathways of the collateral ganglia and adrenal medulla serve unique but interconnected roles in the sympathetic response.
Collateral Ganglia
Sympathetic preganglionic axons reach the collateral ganglia along the route of splanchnic nerves. These nerves bypass the sympathetic trunk and communicate with sympathetic postganglionic neurons housed in the prevertebral ganglia. These ganglia supply the organs of the abdominopelvic cavity.
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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
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The sympathetic division can influence tissues and organs by releasing norepinephrine at peripheral synapses and distributing epinephrine and norepinephrine through the bloodstream. In times of crisis or stress, sympathetic activation occurs, which is regulated by sympathetic centers in the hypothalamus. As a result, sympathetic activation prepares the body for physical exertion, rapid ATP production, and heightened alertness, allowing individuals to respond effectively to challenging or...
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相关实验视频

Updated: Jul 23, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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从交叉句子文本中提取生物医学关系,使用语法依赖图注意力网络.

Xueyang Zhou1, Qiming Fu1, Jianping Chen2

  • 1Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China; Jiangsu Province Key Laboratory of Intelligent Building Energy Efficiency, Suzhou University of Science and Technology, Suzhou 215009, China.

Journal of biomedical informatics
|July 19, 2023
PubMed
概括

这项研究引入了一种新的图表注意力网络 (SR-GAT),用于从交叉句子文本中提取生物医学关系. 该方法有效地捕捉了远程依赖关系,在减少计算资源的情况下实现了最先进的结果.

关键词:
生物医学关系提取提取交叉句子文本 交叉句子文本功能工程的特点工程.面向图形的图形导向.语法依赖图表注意力注意力

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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.
  • 图形神经网络 图形神经网络

背景情况:

  • 从生物医学文本中提取关系对于研究至关重要.
  • 交叉句子文本由于较长的序列和复杂的依赖关系而带来了挑战.
  • 现有的方法难以有效地处理全球依赖性和长序列的结构信息.

研究的目的:

  • 为生物医学关系提取提出一种由语法依赖关系 (SR-GAT) 指导的新型图形注意力网络.
  • 为了应对学习上下文依赖的挑战,在交叉句子文本中结构信息.
  • 提高生物医学关系提取的效率和准确性.

主要方法:

  • 开发了一个语法关系图注意网络 (SR-GAT),结合了语法关系图概率网络 (SR-GPR).
  • SR-GPR编码语法依赖来指导图的注意力机制.
  • 该模型学习节点对节点的语法依赖性,以发现全球依赖性.

主要成果:

  • 在使用显著减少计算资源的公共生物医学数据集上实现了最先进的性能.
  • 在"药物突变" (93.78%二进制,92.14%多类) 和"药物基因突变" (93.22%二进制,92.28%多类) 关系提取方面表现出高准确度.
  • 展示了强大的概括,在没有微调的情况下,在文本分类中准确率为69.5%.

结论:

  • 拟议的SR-GAT方法通过利用语法依赖信息,有效地从交叉句子文本中提取生物医学关系.
  • 与现有方法相比,该模型提供了更好的准确性和效率.
  • 在不同的生物医学NLP任务中,SR-GAT表现出强大的性能和概括能力.