大数据分析在健康研究中的全球趋势:一项文献计量研究
Li Yao1,2, Yan Liu3, Tingrui Wang3
1Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Frontiers in medicine
|July 16, 2025
概括
医疗保健中的大数据分析正在迅速发展,影响决策,疾病管理和精准医学. 解决数据集成,隐私和机器学习挑战是改善健康结果的关键.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学数据科学 生物医学数据科学
- 数字健康数字健康
背景情况:
- 大数据在医疗保健中的整合,被称为"大健康",是一个快速发展的领域.
- 了解医疗保健中大数据技术的新兴趋势和进步至关重要.
研究的目的:
- 分析图书统计数据,并确定健康研究中的大数据分析的关键研究领域和趋势.
- 了解2009年至2024年该领域研究热点的演变和扩张.
主要方法:
- 对来自Web of Science核心集合 (2009-2024) 的13,609篇论文进行了圣经计量和共同引用分析.
- 使用VOSviewer和CiteSpace进行了参考资料分析和可视化.
- 为了确定研究领域和新兴主题,进行了同时发生和共同词突发分析.
主要成果:
- 确定了六个主要研究领域:健康决策,数据管理挑战,机器学习集成,隐私/伦理,精准医学数据集成和疾病管理/风险评估.
- 个性化医疗,决策支持和数据保护等主题显示显著增长 (2015-2020年).
- 研究热点从基本分析扩展到数字化转型,数字健康战略和智能健康城市.
结论:
- 大数据分析显著影响医疗保健决策,疾病管理和精准医学.
- 解决数据集成,隐私和机器学习方面的挑战对于利用大数据来改善健康结果至关重要.
- 医疗保健的数字化转型需要继续专注于推动大数据应用.
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