| Taking the interdisciplinary subject in the field of smart medical care in my country as the research object,adopting the visualization method of the subject knowledge structure and evolution path of the interdisciplinary field,exploring the interdisciplinary subject knowledge structure and the law of community evolution,for the innovation and knowledge structure of the interdisciplinary research method The research provides reference and enriches the theoretical research of smart medical treatment.Integrate existing research to measure the external characteristics of smart medical interdisciplinary,use the co-word network and Louvain algorithm to analyze the knowledge structure and cross-subject community detection from the topic perspective,divide the development stage of smart medical research based on the document life cycle,and according to the theme — Subject,subject-discipline,subject-discipline three-dimensional hierarchical analysis of the internal characteristics of the interdisciplinary knowledge network at each stage,according to the cosine similarity to construct the subject subject community correlation cross-evolution path,reveal the context of the theme community structure and dynamic changes in different periods.The results of the study found that my country’s smart medical research has significant interdisciplinary characteristics,involving 4 first-level disciplines of medicine and health technology,information technology,economics and management science,and social science I and 20 corresponding second-level disciplines.The analysis framework can effectively identify The evolutionary characteristics of interdisciplinary knowledge networks from the thematic perspective provide valuable decision-making information for theoretical research and knowledge innovation in interdisciplinary frontier fields. |
