机器学习方法在中医证治规律研究中的应用进展及述评  

Progress and Review on Application of Machine Learning Methods in study of Traditional Chinese Medicine Syndrome and Treatment Law

作　　者：王宇立 唐禹 林佳成 方媛[1] 许荣忠 方志红[1] 李雁[1] WANG Yui;TANG Yu;LIN Jiacheng;FANG Yuan;XU Rongzhong;FANG Zhihong;LI Yan(Shanghai Municipal Hospital of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine,Shanghai 200070,China;Shanghai Medical College of Fudan University,Shanghai 200032,China;Shanghai Minhang District Hospital of Integrated Traditional Chinese and Western Medicine,Shanghai 201199,China;Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)

机构地区：[1]上海中医药大学附属市中医医院,上海200070 [2]复旦大学上海医学院,上海200032 [3]上海市闵行区中西医结合医院,上海201199 [4]上海中医药大学附属曙光医院,上海201203

出　　处：《中华中医药学刊》2024年第10期17-21,共5页Chinese Archives of Traditional Chinese Medicine

基　　金：国家自然科学基金项目(81973795、82204842);上海市科委启明星计划扬帆专项(22YF1445400);上海医学创新发展基金会未来计划项目(WL-LXBB-2021001K);上海中医药大学关键领域优秀博士生培育项目(GJ3-050)。

摘　　要：机器学习作为人工智能的核心分支之一,是中医智能化研究及数据挖掘的代表性技术手段。目前,机器学习在中医证候相关研究、组方配伍规律研究、预后模型构建研究及中医思维认知模型等中医证治规律研究领域逐步得到推广应用,并体现出了独特的优势,有效推动了传统中医向精准化、标准化和客观化的方向发展,但尚存在一些问题和局限性亟待解决。通过系统回顾近年来机器学习方法在中医证治规律领域的研究,并进行归纳总结、分析不足和提出今后应当努力的方向,以期进一步推动人工智能与传统中医药的交叉融通,促进中医药事业的高质量发展。Machine learning,as one of the core major branches of artificial intelligence,is a representative technical tool for intelligent research and data mining in traditional Chinese medicine(TCM).Currently,machine learning has been increasingly adopted and implemented in various research domains of TCM syndrome and treatment law such as TCM syndrome related research,TCM prescription composition rules related research,prognostic modeling related research,and cognitive model of TCM thinking,and has embodied a unique advantage,which effectively promotes TCM in the direction of precision,standardization and objectivity.However,there are still some problems and limitations that need to be solved urgently.In this manuscript,it systematically reviewed the research of machine learning methods in TCM syndrome and treatment law in recent years,and analyzed the shortcomings and put forward the direction that should be worked on in the future,with a view to further fostering the mutual influence and integration between artificial intelligence and TCM,thereby facilitating the high-quality advancement of TCM practices.

关 键 词：人工智能 机器学习 证治规律 研究进展 述评 

分 类 号：R241[医药卫生—中医诊断学]