中华中医药杂志2026，Vol.41Issue(7)：1853-1859,7.
中医证候辨识中机器学习模型应用现况与未来发展对策
Current status and future development strategies of machine learning in traditional Chinese medicine syndrome identification models
摘要
Abstract
Traditional Chinese medicine(TCM)syndrome identification is a complex,non-linear thinking process.Analysing the complex relationship between the large volume of complex clinical data and the syndromes,clarifying the diagnostic rules of TCM experts and learning the process of identification can contribute to the inheritance and development of TCM syndrome identification.The traditional way of diagnosis faces the dilemma of neglecting the complexity of syndromes,and it is difficult to unify different diseases with the same syndrome.The arrival of the era of precision medicine and intelligent medicine has brought new ideas and methods to the study of TCM syndrome identification.This paper reviews and elaborates the advantages and related research of machine learning in TCM syndrome identification models.On this basis,this paper further analyzes the existing problems and proposes development strategies,such as the reasonable use of feature engineering to achieve accurate model construction,and the construction of integrated identification models with multimodal objective information sources,in order to provide references for future research on syndrome identification models.关键词
中医/证候/多模态/机器学习/辨识模型Key words
Traditional Chinese medicine/Syndrome/Multimodal information/Machine learning/Identification model引用本文复制引用
杨倮,芦煜,王伟,马雪玲,刘红霞..中医证候辨识中机器学习模型应用现况与未来发展对策[J].中华中医药杂志,2026,41(7):1853-1859,7.基金项目
国家自然科学基金区域创新发展联合基金项目重点项目(No.U24A20800),国家自然科学基金青年科学基金项目(No.81503382,No.82104739),教育部产学合作协同育人项目(No.220605634080722),中国博士后科学基金(No.2022M723531),中国中医科学院自由探索项目(No.ZZ160313),中国科学院重点部署项目(No.ZDRW-ZS2021-1-2),浙江中医药大学校级科研项目(No.2023RCZXZK28) （No.U24A20800）
