Chinese Journal of Evidence -Based Pediatric ›› 2012, Vol. 7 ›› Issue (1): 44-49.

• Original Papers • Previous Articles     Next Articles

Visualized subject knowledge-mapping study on interventional diagnosis and therapy of congenital heart disease based on multiple statistical and social network analysis

  

  • Received:2011-11-07 Revised:2012-01-04 Online:2012-01-10 Published:2012-03-15

Abstract: Objective To study the subject domain knowledge of interventional diagnosis and therapy of congenital heart disease (CHD) in our country using multiple statistical and social network analysis, and finally build visualized knowledge-mapping. Methods The China Biology Medicine disc (CBM) using MeSH keywords "heart defect, congenital" and "cardiac catheterization" in March 2011 was searched. After core keywords had been characterized by Endnote X4, the co-occurrence matrix was built. Transformation, dimensionality reduction and clustering of the co-occurrence matrix were finished by SPSS 17.0 software, leading the strategic plot to be built.Then visualized network was drawn using Ucinet 6.0 software. Results The searching results included 1 015 articles, which were imported into Endnote X4 software. The visualized domain knowledge-mapping was successfully built, and it directly reflected the structure of knowledge-mapping of the subject. And key clusters were formed, in which the "therapy", "method and instrument" and "echocardiography" clusters had been developed well. Conclusions The "therapy" cluster stands in the center of the subject domain knowledge-mapping and is well developed with several clusters following. And the study of the "method and instrument" cluster makes a great contribution to the progress of the subject. The studies of echocardiography and pulmonary artery hypertension play an important role in the structure of the knowledge-mapping.