基于《国际功能、残疾和健康分类》的功能鉴别谱

目的:为《国际功能、残疾和健康分类》(ICF)建立条目间的功能鉴别关系图谱,用于指导康复实践.方法:采用知识图谱建模和分析方法,从ICF知识库中提取每个条目的排除项,以之设立为功能鉴别关系,构建条目之间鉴别关系网络,作为功能鉴别谱.从网络中提取主组元和k-核,分析最致密的核团所持条目在世界卫生组织发布的疾病综合核心组合...

Differentiation spectrum for functioning items based on the International Classification of Functioning,Disability and Health

Objective:To establish differentiation spectrum for functioning items based on the international classification of functioning,disability and health(ICF)and to guide rehabilitation practices.Method:By using graph modeling method,the exclusions of each ICF item were extracted,and its differential relationships were setup.Then the networks of inter-items differential relationships were constructed.The main connected components and k-core were extracted from the networks to analyze the distribution of items held by the densest cluster in the comprehensive core sets of diseases published by the world health organization.The key items were analyzed by comparing them with the risk dependency graph of stroke.Result:The functioning differentiation graph of ICF contains 137 items,and its main component consists of 73 body functioning items.The densest 4-core structure contains 22 body functioning items,which are related to higher brain function and cardiopulmonary function.The 4-core items are widely distributed in the existing comprehensive core sets of diseases.There is overlap between the items’differentiation graph and the risk dependency graph,but the connections in networks are different.Conclusion:Using the exclusion information inherent in ICF system,the differentiation spectrum can be established as a new tool for analyzing and applying ICF knowledge.