摘要
目的:中医药在疫情防控中发挥了重要作用,为了让更多的基层中医师快速、全面地掌握新冠病毒的中医诊疗建议,充分发挥中医药的抗疫、防疫能力。方法:在已经开发完成的"基层中医馆健康信息云平台2.0"基础上,提出了基于多标签k近邻算法智能推荐模型,开发、优化了中医智能处方推荐和知识库两个主要模块。结果:系统依托于"中医馆项目"统一部署,已经在基层中医馆健康云平台完成部署。结论:中医智能处方推荐和知识库系统提高了基层医师中医知识水平,辅助强化中医理论认知,提高医生的医疗服务能力。
Objective:Traditional Chinese medicine plays an important role in epidemic prevention and control.In order to let more grass-roots TCM doctors grasp the TCM diagnosis and treatment suggestions of new corona virus quickly and comprehensively,and give full play to the anti epidemic and anti epidemic ability of traditional Chinese medicine.Methods:On the basis of"health information cloud platform 2.0 of basic Chinese Medicine Library",we proposed an intelligent recommendation model based on multi label k-nearest neighbor algorithm,and developed and optimized two main modules of intelligent prescription recommendation and knowledge base of Chinese medicine.Results:Relying on the unified deployment of"TCM library project",the system has been deployed on the health cloud platform of basic TCM library.Conclusion:The intelligent prescription recommendation and knowledge base system of traditional Chinese medicine can improve the knowledge level of basic doctors of traditional Chinese medicine,strengthen the theoretical cognition of traditional Chinese medicine,and improve the medical service ability of doctors.
作者
王斌
刘涛
王广志
谢琪
WANG Bin;LIU Tao;WANG Guang-zhi(Traditional Chinese Medicine Data Center,China Academy of Chinese Medical Sciences,Beijing 100700,P.R.C.)
出处
《中国数字医学》
2020年第5期25-27,共3页
China Digital Medicine
基金
国家重点研发计划-多源异构中医科学数据汇交系统的研发(编号:2017YFC1703505)。
关键词
中医
人工智能
知识库
traditional Chinese medicine
artificial intelligence
knowledge base