东南大学学报(医学版)2024,Vol.43Issue(5) :669-677.DOI:10.3969/j.issn.1671-6264.2024.05.003

基于CiteSpace的国内术后并发症预测模型研究的可视化分析

Visual analysis of a domestic postoperative complication prediction model study based on CiteSpace

韩文政 高华敏
东南大学学报(医学版)2024,Vol.43Issue(5) :669-677.DOI:10.3969/j.issn.1671-6264.2024.05.003

基于CiteSpace的国内术后并发症预测模型研究的可视化分析

Visual analysis of a domestic postoperative complication prediction model study based on CiteSpace

韩文政 1高华敏2
扫码查看

作者信息

  • 1. 河北大学附属医院麻醉科,河北保定 071002
  • 2. 河北大学管理学院,河北保定 071002
  • 折叠

摘要

目的:通过使用CiteSpace对国内关于术后并发症预测模型的研究进行可视化分析,对国内术后并发症预测模型的研究现状进行分析,为未来国内术后并发症预测模型的研究提供参考和方向.方法:应用CiteSpace知识图谱可视化工具,基于中国知网2014年1月1日至2024年6月27日关于术后并发症预测模型的研究文献,统计年发文量,绘制作者合作网络图谱,并根据关键词共线、聚类、时序、突现图谱对术后并发症研究模型主题下的研究热点进行分析,探究该主题研究的演进过程,分析发展趋势及意义.结果:通过使用CiteSpace绘制的图谱及表格分析得出,术后并发症预测模型的研究在未来将会成为热门研究方向.结论:以不同疾病、不同手术方式、不同特征的患者为基点使用机器学习构建精细化的术后并发症预测模型或将成为研究热点,研究者应基于多种机器学习方法进行多中心、大样本、高质量的前瞻性研究,并将构建的预测模型尝试应用于临床实践以构建本土化、个体化的术后并发症预测模型.

Abstract

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.

关键词

预测模型/术后并发症/发展态势/CiteSpace/可视化分析

Key words

predictive model/postoperative complications/development trend/CiteSpace/visual analysis

引用本文复制引用

出版年

2024
东南大学学报(医学版)
东南大学

东南大学学报(医学版)

CSTPCD
影响因子:1.374
ISSN:1671-6264
段落导航相关论文