关键词: 关键词: 病历知识图谱, 可视化表达, 力导向布局, 节点链接图, 融合类型信息的力导向方法

Abstract: Abstract: The force-directed layout method was a classical approach used for knowledge graph visualization, and it was employed to uniformly distribute nodes in the visualization space through attractive and repulsive forces between nodes. However, since visualization of domain-specific knowledge graphs was often closely related to domain applications, the classical force-directed layout method did not meet the visualization requirements of vertical-domain knowledge graphs. An improved force-directed layout method was proposed by analyzing the graph structure, data characteristics, and visualization requirements of query applications of medical record knowledge graphs, with the aim of supporting clinical decision-support applications. Based on the classical force-directed layout model, this method introduced attraction between nodes of the same level and same type, repulsion between nodes of the same level but different types, and spacing-preserving repulsion between non-leaf and non-adjacent nodes. As a result, nodes of the same level and same type were grouped into the same region, nodes of the same level but different types were distributed into separate regions, and nodes at different levels were arranged with reasonable spacing, thereby reducing node crowding and edge crossings. The final visualization layout clearly revealed the data’s type characteristics, quantity characteristics, and community characteristics. Additionally, node type and the number of same-level, same-type nodes were incorporated as factors determining edge length between nodes, so that node importance was expressed through edge length, further improving the rationality of the visualization layout and enhancing semantic expressiveness. Experimental results showed that, compared with the FR method, the proposed method achieved a 165.5% improvement in domain-specific semantic visualization capability. From the visualization results, better performance was obtained for electronic medical record knowledge graph visualization.

Key words: Keywords: medical record knowledge graph, visualization, force-directed layout, node link graph, force-directed method integrating type information