一个字符级的卷积循环交互网络,用于共同的传统中医临床命名实体识别和关系提取
Qiang Xu1, Zhi-Hui Zhao1, Wei-Wei Liu1
1College of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610100, China.
Artificial intelligence in medicine
|February 18, 2026
概括
这项研究引入了一种用于分析传统中医 (TCM) 电子病历 (EMR) 的新型网络. 字符级卷积反复交互网络 (CCRIN) 有效提取临床实体及其关系,改进TCM数据分析.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 传统中国医药 传统中国医药
背景情况:
- 传统中医 (TCM) 电子病历 (EMR) 包含由四个诊断维度构成的有价值的患者数据.
- 目前用于TCM EMR分析的深度学习模型缺乏充分利用这些维度和古代中国语义特征的能力.
- 这限制了TCM医疗数据的有效结构和建模.
研究的目的:
- 为TCM EMRs开发一个联合命名实体和关系提取方法.
- 解决现有模型在捕捉四个诊断维度和古代中国语义方面的局限性.
- 改进提取临床实体及其在TCM数据中的关系.
主要方法:
- 提出了一个字符级卷积反复交互网络 (CCRIN) 模型.
- 将四个诊断维度视为关系,位置视为头部实体,症状属性视为尾部实体.
- 集成的汉字嵌入,上下文卷积特征,以及多任务学习的自我注意力机制.
主要成果:
- 在提取TCM实体和关系方面,CCRIN模型表现出卓越的性能.
- 对纽约时报和TCM案例数据集的实证研究验证了该模型的有效性.
- 该模型成功地捕获了古代中国人的语义信息,并纳入了四个诊断维度.
结论:
- 拟议的CCRIN模型为分析TCM EMR提供了一种有效的方法.
- 这种方法增强了基于四个诊断维度的临床实体及其关联关系的提取.
- 这些发现有助于使用先进的NLP技术更好地构建和建模TCM医疗数据.
更多相关视频
07:50Author Spotlight: Integrating 2D-HPLC-MS and Molecular Networking in Natural Medicine Analysis
Published on: December 8, 2023
1.2K
06:22Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
Published on: September 19, 2025
554
相关概念视频
Classification of Connective Tissues
The connective tissues have different properties and functions in the human body. They are broadly categorized into proper, supporting, or fluid connective tissues.
Connective Tissue Proper
Connective tissue proper is the most abundant class of connective tissues. As its name implies, it predominantly connects different tissues in the body. Depending on the cell types, ground substance, viscosity, and fiber types in the ECM, connective tissue proper is further categorized into loose and dense.
Connective Tissue Proper
Connective tissue proper is the most abundant class of connective tissues. As its name implies, it predominantly connects different tissues in the body. Depending on the cell types, ground substance, viscosity, and fiber types in the ECM, connective tissue proper is further categorized into loose and dense.
Methods of Classification and Identification
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
Modern Molecular Taxonomy
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Rapid Identification of Pathogens
MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
