中医智能辨证诊断技术的演进与问题探讨  

Discussion on the Evolution and Problems of Intelligent Syndrome Differentiation Diagnosis Technology in Traditional Chinese Medicine

作　　者：文志华 夏帅帅 刘东波 晏峻峰 Wen Zhihua;Xia Shuaishuai;Liu Dongbo;Yan Junfeng(School of Informatics,Hunan University of Chinese Medicine,Changsha 410208,China;School of Computer Science,Hunan University of Technology,Zhuzhou 412008,China)

机构地区：[1]湖南中医药大学信息科学与工程学院,长沙410208 [2]湖南工业大学计算机学院,株洲412000

出　　处：《世界科学技术-中医药现代化》2021年第11期4298-4304,共7页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology

基　　金：教育部“天诚汇智”创新促教基金科研创新基金(2018A03015):动态自适应多层次证素辨证网络模型研究,负责人:晏峻峰;湖南省教育厅科学研究重点项目(18A219):基于动态不确定因果图的中医证素辨证模型研究,负责人:晏峻峰。

摘　　要：本文通过对国内中医智能辨证诊断研究历程的梳理,系统总结了不同阶段中医智能辨证诊断的技术特点,并对基于经验知识的推理到基于机器学习的数字辨证模型构建的代表性成果进行了阐述,对技术演进过程涉及的主要技术在未来中医智能辨证诊断研究中的前景、难点和挑战提出了一些观点及相关设想,以期为未来中医智能辨证诊断在方法、模型、技术方面的进一步研究提供思路。Based on the analysis of the research process of intelligent syndrome differentiation diagnosis in traditional Chinese medicine(TCM),this paper summarized the technical characteristics of intelligent syndrome differentiation diagnosis of TCM at different stages.The representative achievements of the digital dialectical model construction based on the technology of empirical knowledge reasoning or machine-learning were described.The prospect of intelligent technology in intelligent syndrome differentiation of TCM in the future was discussed,and the views and related ideas on the difficulties and challenges were also proposed.It can provide ideas for further research on methods,models and technologies of intelligent syndrome differentiation diagnosis of TCM in the future.

关 键 词：中医诊断 中医智能辨证诊断 智能诊断 人工智能 中医药 

分 类 号：R2-03[医药卫生—中医学]