在基于CiteSpace的护理数据挖掘研究中,对发展趋势和研究热点的图书统计分析
Rui Zhang1,2, Yingying Ge3, Lu Xia4
1Department of Nursing, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, People's Republic of China.
Journal of multidisciplinary healthcare
|April 15, 2024
概括
护理领域的数据挖掘正在缓慢增长,美国和中国领导着研究. 未来的工作应该集中在护理信息学和改善护理质量上.
科学领域:
- 护理信息学 护理信息学
- 健康 数据科学 数据科学
背景情况:
- 大数据时代从医院和移动系统产生了大量的医疗数据.
- 数据挖掘为从大型数据集中提取非显而易见的见解提供了强大的工具.
- 将数据挖掘应用于护理临床实践正在获得研究关注.
研究的目的:
- 审查护理数据挖掘的研究状况.
- 确定研究热点和趋势.
- 为未来的护理数据挖掘应用提供建议.
主要方法:
- 在科学网络核心集合中对2002-2023年出版物的分析.
- 利用CiteSpace对文章,国家,机构,期刊,作者和关键词进行文献计量分析.
主要成果:
- 护理数据挖掘的研究进展缓慢,美国和中国占主导地位.
- 没有出现一致的核心研究小组.
- 关键领域包括电子健康记录,文本挖掘,机器学习和自然语言处理.
- 确定了有影响力的机构,期刊和作者.
结论:
- 数据挖掘为护理学科的成长提供了宝贵的前景.
- 它的应用带来了重大挑战和新的研究问题.
- 未来的研究应该优先考虑护理信息学和临床护理质量提升.
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