关键词:

护理, 机器学习算法, 文献计量学, 可视化分析

Abstract:

Objective　To analyze the research status and hotspots of machine learning algorithms applied to nursing field in foreign countries, so as to provide a reference path for related researches in China. Methods　Based on the literature analysis software CiteSpace 6.2 R6, we searched the relevant literatures on the application of machine learning algorithms in nursing in the core set of Web of Science from January 2010 to May 2024, and carried out a visual analysis in terms of the number of articles per year, authors, countries, journals, total citations, and keyword clustering, etc. Results　A total of 842 documents were included, with an overall increasing trend in annual publications, with the most publications in the journal Nursing (139), the United States being the country with the most publications (295), and the country with the strongest centrality (centrality=0.62). Research hotspots show that the top three sudden keywords are machine learning, deep learning, and predictive models, among them, machine learning (strength=7.16) has the highest burst intensity and has been sustained until now. Conclusions  The research hotness of machine learning algorithms applied to the nursing field has continued to increase in recent years, and there is still a certain gap between the current state of China's research in this field and the international cutting-edge level. In the future, on the basis of grasping the international hotspot, we should deepen the cooperation between nursing and machine learning algorithms.

Key words:

Nursing, Machine learning algorithms, Bibliometrics, Visual analysis