Objective To explore the construction idea and application method of knowledge base and knowledge mining system for the prevention and treatment of diseases in traditional Chinese medicine.Methods Guided by the theory of traditional Chinese medicine(TCM),firstly,the knowledge system of TCM Prevention and treatment was sorted out,and the structure and relationship of TCM Prevention and treatment knowledge base were designed according to the classification method of TCM Prevention and treatment;Secondly,according to the needs of pre treatment research,the ancient and modern literature data sources and knowledge collection methods of TCM pre treatment database are proposed;Then,under the framework of the pre treatment classification system,the core knowledge is studied in the aspects of professional annotation,relationship extraction,knowledge audit,and a variety of data mining algorithms are introduced to analyze and mine the knowledge;Finally,the massive data obtained are combined with big data analysis and computer machine learning to realize intelligent information collection,disease analysis and diagnosis and treatment suggestions.Results Under the guidance of traditional Chinese medicine theory,the knowledge base of traditional Chinese medicine for prevention and treatment of diseases can digitize,digitize and intellectualize the basic knowledge and clinical knowledge of traditional Chinese medicine for prevention and treatment of diseases,and can objectively mine and analyze the data,providing a basis for the service and sharing of knowledge of traditional Chinese medicine for prevention and treatment of diseases.Conclusion The knowledge base of TCM Prevention and treatment is an important way for the digital storage of TCM Prevention and treatment knowledge,and provides literature knowledge support and objective evidence of data mining for TCM Prevention and treatment research.