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 a-dopted and implemented in various research domains of TCM syndrome and treatment law such as TCM syndrome related re-search,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 systemat-ically 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 influ-ence and integration between artificial intelligence and TCM,thereby facilitating the high-quality advancement of TCM prac-tices.
关键词
人工智能/机器学习/证治规律/研究进展/述评
Key words
artificial intelligence/machine learning/law of syndrome and treatment/research progress/comment
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