中医症状标准化路径研究:从术语规范到智能量化OA
Study on the Standardization Pathway of Traditional Chinese Medicine Symptoms:From Terminology Normalization to Intelligent Quantification
中医症状标准化是推动中医药现代化与国际化的重要基础.目前该领域仍面临术语表述混淆、分类体系模糊及量化手段不足等问题.从症状表述、分类体系、量化方法及人工智能技术融合 4 个维度,系统探讨中医症状标准化的实现路径.统一症名与规范用词是标准化的前提;症状群分类法有助于提升临床适用性;人工智能技术则为症状的客观量化与智能分析提供了新工具.本研究构建一个以症名规范为基础、症状群分类为核心、智能量化为导向的标准化框架,可为中医症状标准化提供理论依据与实践参考,助力中医药的传承、创新与国际发展.
The standardization of traditional Chinese medicine(TCM)symptoms can promote the modernization and internationalization of TCM.In the TCM symptom standardization,there are problems such as confused terminology,ambiguous classification systems,and insufficient quantification methods.This paper systematically explores the implementation pathways of TCM symptoms standardization from four dimensions:symptom description,classification system,quantification methods,and the integration of artificial intelligence technology.Unifying symptom names and standardizing terminology are the prerequisite;symptom cluster classification can improve clinical applicability;artificial intelligence technology provides new tools for the objective quantification and intelligent analysis of the symptoms.A standardized framework based on normalized symptom names,centered on symptom cluster classification,and driven by intelligent quantification,should be constructed,to provide a theoretical basis and practical reference for the standardization of TCM symptoms.It could contribute to the inheritance,innovation,and international development of TCM.
赵文;蔡晨榕;何敏;周常恩
福建中医药大学中医学院,福建 福州 350122福建中医药大学中医学院,福建 福州 350122福建中医药大学中医学院,福建 福州 350122福建中医药大学中医学院,福建 福州 350122
医药卫生
中医症状术语标准化症状群分类人工智能量化分析
traditional Chinese medicine symptomsterminology standardizationsymptom cluster classificationartificial intelligencequantitative analysis
《中医研究》 2026 (9)
1-6,6
国家自然科学基金(82505798)福建省自然科学基金(2024J08202,2023J01866)福建中医药大学校管课题(XJC2023002,XJC2023007)
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