Visual analysis of a domestic postoperative complication prediction model study based on CiteSpace
Objective:By using CiteSpace to conduct the visual analysis of the domestic research of the postopera-tive complications prediction model,and analyze the research status of the domestic postoperative complications pre-diction model,so as to provide reference and direction for the future research of the domestic postoperative compli-cations prediction model.Methods:This paper apply CiteSpace knowledge graph visualization tool,based on the CNKI from January 1,2014 to June 27,2024 for postoperative complications prediction model research literature,counted annual publications,drew the author cooperation network map,and according to the keywords collinear,clustering,timing,emergent map of postoperative complications research model under the topic hot analysis,ex-plored the evolution of the subject research process,analyzed the development trend and significance.Results:The map and table analysis using CiteSpace showed,the study of postoperative complication prediction model would be-come a popular research direction in the future.Conclusion:With different diseases,different surgical methods,different characteristics of the machine learning to build refined postoperative complications prediction model or will become a research hotspot.Researchers should base on various machine learning methods to conduct multicenter,large samples,high quality prospective study,and try to apply the prediction model to clinical practice to build lo-calization,individualized postoperative complications prediction model.
万方数据
维普
