摘要
随着我国居民生活方式的变化,糖尿病已成为流行病,且逐渐呈年轻化趋势。作为一种长期慢性疾病,患者日常行为和自我管理能力对糖尿病的控制起到关键性的作用,为了促进糖尿病医学知识的共享、传播和利用,使得糖尿病患者拥有更积极的态度、科学的糖尿病知识和较好的糖尿病自我管理意识,本文提出了建立糖尿病的医学知识图谱,使用如医学实体抽取、医学实体关系抽取、医学实体属性抽取、医学知识融合等自然语言的相关技术,在语义层面对医学大数据进行了统一表达和组织,建立医学知识服务和应用,旨在促进患者掌握糖尿病管理所需的知识和技能,提高患者的生活质量。
With the changes in the lifestyles of Chinese residents,diabetes has become an epidemic,and it is gradually showing a younger trend.As a long-term chronic disease,the daily behavior and self-management ability of patients play a key role in the control of diabetes.In order to promote the sharing,dissemination and utilization of diabetes medical knowledge,diabetic patients have a more positive attitude and scientific diabetes knowledge and better awareness of diabetes self-management,this article proposes to establish a diabetes medical knowledge map,using natural language related technologies such as medical entity extraction,medical entity relationship extraction,medical entity attribute extraction,medical knowledge fusion,etc.Big data is uniformly expressed and organized,and medical knowledge services and applications are established to promote patients to master the knowledge and skills required for diabetes management and improve the quality of life of patients.
作者
刘勇
齐梦霁
LIU Yong;QI Meng-ji(Information Center,Nanjing Jiangbei People's Hospital,Nanjing 210048,Jiangsu,China;Science and Education Department,Nanjing Jiangbei People's Hospital,Nanjing 210048,Jiangsu,China)
出处
《医学信息》
2020年第18期11-14,共4页
Journal of Medical Information
关键词
糖尿病
医学知识图谱
关系抽取
自然语言处理
Diabetes
Medical knowledge graph
Relation extraction
Natural language processing
