Exploration of the Research Path of Stroke Ancient Medical Records Based on Knowledge Element Theory and Knowledge Graph
Objective Based on knowledge element theory and knowledge graph,the current status of research on ancient medical cases of stroke was revealed,and innovative paths were considered.Methods CNKI,VIP,Wan Fang,SinoMed,and other databases were retrieved,collected the publicly published research literature on ancient medical cases of stroke since the establishment of the library to October 2023,formulated the knowledge element system of medical case study,systematically extracted the knowledge elements of the text,and constructed the knowledge graph based on the Neo4j graph database to achieve the visual presentation of the complex network,and objectively revealed the research status and put forward the research optimization plan based on the data statistics and graph visualization analysis.Results 120 relevant documents were included to form a knowledge element database of medical cases,which was used as a data source to construct a knowledge graph consisting of 301 entity nodes and 1 100 relationships.The analysis of the current research context was as follows:medical cases are mainly from a single source,most of them come from single ancient books,and there is no specific point of view in medical case analysis.The research forms and methods are affected by the research volume,the small volume combines case study with reading comprehension,and the large volume combines group case study with knowledge discovery;the research content involves 13 types of knowledge elements,22 semantic types,and 23 semantic relations,but the current main content is still limited to prescription knowledge elements,Chinese medicine semantics and drug pair relations;knowledge discovery technology adopts data mining based on frequency statistics.Conclusion Based on the current status of the study,future innovation paths are proposed:increasing the vertical and horizontal dimensions of medical case sources to form a vertical time sequence or horizontal differences,selecting the focus of medical case analysis by combining"knowledge and action",conducting group case analysis based on individual case interpretation to improve the comprehensiveness of the study,and constructing a domain knowledge graph to improve the semantic abundance and technological diversity.At the same time,through the method of knowledge element theory and knowledge graph docking,this study realizes the semantic data analysis and graph visualization of"graph-data mutual evidence",which provides methodological references for the complex components analysis of big data sources for major diseases and dominant disease types in traditional Chinese medicine.
Knowledge element theoryStrokeMedical cases in ancient books of TCMKnowledge graphGraph visualization analysis
NETL
NSTL
万方数据
维普
