基于Web of Science护理领域机器学习算法应用研究的可视化分析

Visual analysis of application research of machine learning algorithm in nursing field based on Web of Science

目的:了解2011年―2021年国内外机器学习在护理领域的研究现状、热点及前沿动态,旨在为该领域深入开展机器学习相关研究提供借鉴和参考。方法:检索Web of Science核心数据库中的相关文献,采用CiteSpace软件对纳入文献进行可视化分析。结果:共纳入5992篇有效文献,发文量呈不断上涨趋势,文献最高被引频次为58次,高频关键词有“nurse”(护士)、“prevalence”(患病率)、“risk factor”(危险因素)等;突现关键词有“satisfaction”(满意度)、“cost”(成本)、“readmission”(再入院)等。结论:机器学习作为一种强大的统计工具,为护理的信息化发展提供新模式和新经验,我国科研人员在保证科研产出的同时,应注意加强跨地区合作,加大科研投入,同时注重跨学科协同创新护理人才的培养,切实推进我国护理信息化、智能化的发展。

Objective To understand the research status,hot spots,and frontier trends of machine learning in the field of nursing at home and abroad from 2011 to 2021,so as to provide reference for further research on machine learning in this field.Methods The relevant literatures in the core database of Web of Science were searched and visualized by CiteSpace software.Results A total of 5,992 effective literatures were included,and the number of articles published was on the rise with the highest citation frequency of 58 times.High-frequency keywords include"nurse","prevalence","risk factor",etc.Emergent keywords include"satisfaction","cost","readmission",etc.Conclusion As a powerful statistical tool,machine learning provides a new model and new experience for the development of IT application in nursing.While ensuring the scientific research output,Chinese researchers should pay attention to strengthening cross-regional cooperation,increasing investment in scientific research,and focusing on the cultivation of interdisciplinary collaborative and innovative nursing talents,so as to effectively promote the development of IT application and intelligence in nursing.