摘要
关联规则作为数据挖掘技术的一部分,其应用与发展得到了良好机遇,护理研究者已经开始应用关联规则技术挖掘护理数据中有意义的内容,以指导护理相关领域的发展。文章阐述了关联规则含义、常用算法及软件,梳理了关联规则在护理不良事件、护理人力资源、护理教育及中医护理领域的研究进展。在此基础上,从数据挖掘能力、护理语言标准化的角度提出展望,以期为今后护理工作者开展相关研究提供理论参考。
As a part of data mining technology,association rules have a great opportunity for its application and development.Nursing researchers have begun to use association rules technology to extract meaningful information from nursing data to guide the development of nursing-related fields.Based on the common algorithms,software and data analysis process of association rules,the article reviewed the research progress of association rules in patient safety,nursing human resources,nursing education and Traditional Chinese Medicine nursing,with a view to provide theoretical references for future research by nursing workers.
作者
杨健健
马小琴
YANG Jianjian;MA Xiaoqin(School of Nursing,Zhejiang Chinese Medical University,Hangzhou 310053,China)
出处
《护理管理杂志》
2022年第1期49-52,共4页
Journal of Nursing Administration
基金
2020年度浙江省中医药科学研究基金项目(2020ZA032)。
关键词
关联规则
数据挖掘
护理
association rules
data mining
nursing