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作 者:周子译 冯哲[1] 周学平[1] ZHOU Ziyi;FENG Zhe;ZHOU Xueping(The First Clinical Medical College,Nanjing University of Chinese Medicine,Nanjing,210023)
机构地区:[1]南京中医药大学第一临床医学院,江苏省南京市210023
出 处:《中医杂志》2025年第8期765-768,774,共5页Journal of Traditional Chinese Medicine
基 金:江苏省自然科学基金(BK20211299);江苏省高等学校基础科学(自然科学)研究重大项目(24KJA360003);江苏省中医疫病研究中心开放课题(JSYB2024KF04)。
摘 要:鉴于传统科学研究方法对于揭示疾病病机复杂动态演化规律的局限性,在系统思维理论框架下,分析当前中医病机辨证的发展现状与问题,指出其面临实验模型不足、数据标准化程度低、非线性特性复杂以及专家经验整合困难等挑战;借助定性定量综合集成方法,提出该体系研究的具体策略,包括构建病机演变的定性模型、采用数学模型验证与定量计算揭示病机规律、融入“以人为主”理念实现人机协同,为中医病机辨证新体系的现代化发展提供思路。Given the limitations of traditional scientific research methods in revealing the complex and dynamic evolution of disease pathomechanisms,this paper analyzes the current state and challenges of the traditional Chinese medicine(TCM)pathomechanism syndrome differentiation system within the framework of systems thinking.The challenges include insufficient experimental models,low data standardization,complex nonlinear characteristics,and difficulties in integrating expert experience.By leveraging qualitative-quantitative comprehensive integration methods,this paper proposes specific research strategies,including constructing qualitative models of pathomechanism evolution,employing mathematical models for validation and quantitative analysis to reveal pathomechanism patterns,and incorporating a"human-centered"approach to achieve human-machine collaboration.These strategies aim to provide insights for the modernization and development of a new TCM pathomechanism syndrome differentiation system.
分 类 号:R241[医药卫生—中医诊断学]
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