Construction And Analysis Of The International Classification Of Functioning,Disability And Health(ICF)graphical Model Of Stroke

Objective: This study provided new thinking and evidence about applications of International Classification of Functioning,Disability and Health(ICF)for persons with stroke.Method: A total of 100 stroke patients were randomly sampled in this study.Investigation included a set of 166 ICF categories in the comprehensive core set for stroke.Graphical model was composed of categories as nodes and risk correlations as lines.The study used R software(Version 2.2.2)for graphical modeling and Pajek64(version 5.02)for network analysis and visualization.Result: There is a main component in the global structure of graphical model.The main component contains a 3-core with robust connectivity and a main island with solid connections which can be divided into five functional branch modules.In the main island,a critically localized category,d450(Walking),belongs to both generic core set and brief core set.A network of brief core set was extracted from the graphical model.For the same set of categories,this study mapped their frequency distribution on ICF scores.By comparing the brief core set network and their frequency distribution,complementary knowledge of functional variables emerged from the findings.Conclusion: Graphical model of comprehensive core set for stroke can reveal complex relational features embedded in functional variables.Frequency distribution of the same set makes it possible to interpret attribute features of functional variables.By analyzing different perspectives from relational and property data,these techniques may offer an integrated strategy for the applications of ICF.