摘要
目的:基于“态靶辨证”中医诊疗思维,利用人工智能技术为代谢病中医辅助诊疗提供智能化支持。方法:通过自然语言处理技术,对医学文献和专家经验进行信息抽取和实体识别,构建包含疾病状态、治疗靶点及相关辨证规则的术语知识库。在此基础上,利用图数据库和深度学习算法,构建态靶辨证知识图谱,表达不同疾病状态与治疗靶点之间的复杂关系。结果:通过模型训练和知识推理,结合病例的具体症状和体质,推荐相应的中医治疗方案,提高了代谢病辅助诊疗的准确性和效率。结论:本研究为中医辨证施治提供了新的方法和思路,不断迭代优化算法,拓展临床应用,推动中医药辅助诊疗的发展和完善,为中医药传承创新奠定良好的技术基础。
Objective Based on the TCM diagnosis and treatment concept of"state-targeted syndrome differentiation",this study aims to utilize AI technology to provide intelligent support for TCM assistant diagnosis and treatment of metabolic diseases.Methods By using natural language processing technology,information extraction and entity identification were carried out from medical literature and expert experience,and a terminology knowledge base containing disease states,therapeutic targets,and related syndrome differentiation rules was constructed.On this basis,the graph database and deep learning algorithm were utilized to construct the knowledge graph of the state-target syndrome differentiation,so as to express the complex relationship between different disease states and therapeutic targets.Results Through model training and knowledge reasoning and based on the specific symptoms and constitution of the cases,the corresponding TCM treatment plan was recommended,which improved the accuracy and efficiency of the assistant diagnosis and treatment of metabolic diseases.Conclusion This study provides new methods and ideas for TCM syndrome differentiation and treatment,continuously iterates and optimizes the algorithm,expands clinical applications,promotes the development and improvement of TCM assistant diagnosis and treatment,and lays a good technical foundation for TCM inheritance and innovation.
作者
张红
倪皖东
姜又琳
李享
刘堃靖
ZHANG Hong;NI Wandong;JIANG Youlin;LI Xiang;LIU Kunjing(Guang'anmen Hospital,China Academy of Traditional Chinese Medicine,Beijing 100032,China)
出处
《中国数字医学》
2024年第5期8-13,27,共7页
China Digital Medicine
基金
中国中医科学院科技创新工程项目-中医药信息学创新团队(CI2021B002)
中央高水平中医医院临床研究和成果转化能力提升项目-传承名老中医药专家学术经验专项(HLCMHPP2023031)
中国中医科学院广安门医院代谢病专项(2022LYJSZX06)
关键词
人工智能
代谢性疾病
辅助诊疗
知识图谱
态靶辨治
模型训练
Artificial intelligence
Metabolic disease
Assistant diagnosis and treatment
Knowledge graph
State-targeted differentiation and treatment
Model training
