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构建中医辨证解释体系的挑战与思路 被引量:2

Challenges and Ideas in Constructing an Interpretative System for Syndrome Differentiation in Traditional Chinese Medicine
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摘要 辨证的解释是智能辨证研究的必要课题。中医辨证体系庞大,解释具有多样化及相互关联的特点,且语言表达非规范化,而详细解释又涉及复杂的中医基础理论和文献,导致体系的整理具有挑战性。从文本挖掘的角度,分析现有智能辨证研究的局限性,明确构建辨证解释体系的重要性和必要性,提出解释体系的构建思路包括构建概念体系、逻辑体系、评价体系以及体系的展示四个方面。未来的研究可以基于此思路,继续细化解释体系的结构、逻辑和语义关系以及评价方法,并进行具象的展示,利用教材、医案、医话、论文等多种数据源,构建解释语料库,进而为技术人员提供辨证解释的标准参考和数据支撑。 Interpretation of syndrome differentiation is a necessary topic for the research on intelligent syndrome differentiation.The syndrome differentiation system of traditional Chinese medicine(TCM)is huge,with diverse and interrelated interpretations,and non-standardized linguistic expressions,while detailed interpretations involve complex basic theories and literature of TCM,resulting in a challenging organization of the system.From the perspective of text mining,this article analyzed the limitations of existing intelligent syndrome differentiation research,clarified the importance and necessity of constructing a syndrome differentiation interpretation system,and proposed the idea of constructing an interpretation system including conceptual system,logical system,evaluation system,and visualization presentation.Future research can continue to refine the structure,logical and semantic relationships,as well as evaluation methods of the interpretation system based on this ideas,present concrete examples,and build the interpretation corpus by utilizing various data sources such as textbooks,medical records,medical discourse,and papers,to provide technicians with standard reference and data support for TCM syndrome differentiation interpretation.
作者 张婷婷 王亚强 蒋艺宁 温川飙 ZHANG Tingting;WANG Yaqiang;JIANG Yining;WEN Chuanbiao(Chengdu University of Traditional Chinese Medicine,Chengdu,610075;Chengdu University of Information Technology)
出处 《中医杂志》 CSCD 北大核心 2024年第5期445-448,454,共5页 Journal of Traditional Chinese Medicine
基金 中国博士后科学基金(2021M693785)。
关键词 智能辨证 解释体系 自然语言处理 syndrome differentiation interpretative system natural language processing
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