Visual analysis on research of hypertension risk prediction model based on CiteSpace
ZHANG Yiran
ZHU Lu
WANG Kangmei
ZHU Shengcai
DAI Wei
HUANG Yi
Abstract：Objective:To analyze the research status quo of hypertension risk prediction at home and abroad,and to provide reference for more abundant and comprehensive scientific research and better disease management.Methods:The literature related to hypertension prediction model in the core collection database of CNKI and Web of Science in recent 10 years was searched by computer,and the graph was drawn by CiteSpace 6.1.R6,including the trend of publication,keyword co-occurrence and clustering,outburst word analysis,and time graph.Results:A total of 578 articles were included.The number of annual publications at home and abroad showed an increasing trend.The research focus was on the diagnosis model and prognosis model of hypertension in elderly and rural population.The research frontier focused on the construction of hypertension prediction model such as nomogram and machine learning.Conclusions:In recent 10 years,there are differences in the predictive factors in the research hotspots at home and abroad.In the future,domestic researchers can build more hypertension related prediction models combined with traditional Chinese medicine elements,and further combine,compare and optimize the models.
Keywords：hypertensionrisk factorsprediction modelresearch hotspotstatus quo
Publication Date：2024-03-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 991-996 )