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融合证素知识的中医证候术语映射研究

A Study on Syndrome Element Weighted Traditional Chinese Medicine Syndrome Term Mapping Based on Bag-of-Words Model

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【作者】 牟冬梅张保锐王书童王长聪王萍

【Author】 MU Dongmei;ZHANG Baorui;WANG Shutong;WANG Changcong;WANG Ping;School of Public Health,Jilin University;The First Hospital of Jilin University;Changchun University of Chinese Medicine;

【通讯作者】 牟冬梅;

【机构】 吉林大学公共卫生学院吉林大学第一医院长春中医药大学医药信息学院

【摘要】 【目的/意义】探究中医证素与证候名称的关系,解决临床实践证候用语与标准证候术语之间的不匹配问题。【方法/过程】借鉴文献著录对文献内容特征和外表特征进行客观描述的理念,基于中医证素知识分析中医证候术语内容特征,运用词袋模型建模其形式特征,构建融合证素的多特征术语映射方法。【结果/结论】采用真实临床病案数据进行实证。结果显示,目标术语的候选项数量N取10时,映射结果命中率提升至95.97%,当目标术语候选项数量N减至1时,命中率提升7.18%。验证了证素先验知识术语映射方面的贡献,为中医证候术语的标准化和规范化提供了新的思路和工具。【创新/局限】本文提出一种证素先验知识结合词袋模型的术语映射方法,将中医证候术语的内容特征与形式特征融合,以弥补单一特征模型的视野局限性。未来将结合大模型,在更多数据上进行验证探索。

【Abstract】 【Purpose/significance】Explore the relationship between traditional Chinese medicine(TCM) syndrome elements and syndrome names, and resolve the mismatch between syndrome terms used in clinical practice and standard syndrome terminology.【Method/process】Drawing on the idea of objectively describing the content and appearance characteristics of literature in literature records, the content characteristics of TCM syndrome terms were analyzed based on the knowledge of TCM syndrome elements, and the bag-of-words model was used to model their formal characteristics. A multi-feature term mapping method that integrated syndrome elements was constructed.【Result/conclusion】Empirical validation using real clinical case data. The results show that when the number of candidate items N of the target term is 10, the hit rate of the mapping result increases to 95.97%, and when the number of candidate items N of the target term is reduced to 1, the hit rate increases by 7.18%. This verifies the contribution of the mapping of syndrome-element prior knowledge terms and provides new ideas and tools for the standardization and normalization of TCM syndrome terminology.【Innovation/limitation】This paper proposes a term mapping method that combines syndrome prior knowledge with the bag-of-words model, which integrates the content and form features of TCM syndrome terms to make up for the field of vision limitations of a single feature model. In the future, we will combine a large model to conduct verification and exploration on more data.

【基金】 国家自然科学基金项目“‘知识-数据’双轮驱动的多模态电子病历数据组织模式与应用研究”(72374081);吉林省科技发展计划项目“面向健康自主管理的个人诊疗信息平台开发与应用”(20240304164SF)
  • 【文献出处】 情报科学 ,Information Science , 编辑部邮箱 ,2025年07期
  • 【分类号】G254;R24
  • 【下载频次】10
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