在重症监护信息学中的数据驱动趋势:使用MIMIC数据库 (2004-2024) 对全球合作的文献分析
Xiyue Zhang1, Weimin Kong2, Rongfen Shi1
1Nursing Department, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China.
Computers in biology and medicine
|June 28, 2025
概括
使用密集护理医疗信息市场 (MIMIC) 数据库对重症监护研究的图书统计分析显示了大量的增长和演变. 研究已经转向先进的人工智能应用,中国和美国领导产出和影响.
科学领域:
- 关键护理医学 关键护理医学
- 医疗信息学 医疗信息学
- 图书统计学 图书统计学
背景情况:
- 密集护理医疗信息中心 (MIMIC) 数据库对于重症监护研究至关重要.
- 了解MIMIC研究趋势,全球合作和主题演变是有限的.
研究的目的:
- 对2004年至2024年期间的MIMIC出版物进行文献计量分析.
- 确定主题演变,全球趋势和新兴研究领域.
主要方法:
- 从科学网上对2769个MIMIC出版物的图书法分析.
- 使用R,Bibliometrix,VOSviewer和Pajek进行数据分析和可视化.
- 为了数据的一致性,采用多步解歧义.
主要成果:
- 显著的年度出版物增长 (40.6%),引用率高.
- 中国在出版量方面处于领先地位,而美国显示出更大的全球影响力和合作.
- 研究从描述性研究演变为先进的机器学习 (ML) 和人工智能 (AI) 应用.
结论:
- MIMIC研究显示,中国和美国是主要贡献者.
- 研究已经发展到人工智能应用,但现实世界的整合面临挑战.
- 未来的努力应集中在透明的模型和加强的国际合作,以获得更大的翻译价值.
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