精准医学中的医疗大数据存储:系统性审查
Mostafa Langarizadeh1, Mehdi Hajebrahimi1
1Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Journal of biomedical physics & engineering
|June 13, 2025
概括
实施精准医学需要一个安全的,可扩展的基础设施,用于医疗数据的存储和检索. 本研究确定了有效的精准医学数据管理的关键数据特征,挑战和解决方案.
科学领域:
- 医疗信息学 医疗信息学
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- 精准医学 (PM) 依赖于强大的基础设施来处理医疗数据.
- 在PM数据存储和检索方面的挑战对实施至关重要.
- 一个安全和可扩展的基础设施对于数据集成和存储至关重要.
研究的目的:
- 描述PM数据,包括体积,品种和速度 (3Vs).
- 识别存储和检索PM数据的挑战.
- 在PM中识别适当数据基础设施的解决方案.
主要方法:
- 从2015年到2023年进行的系统文献综述.
- 在 Web of Science,Scopus,PubMed,Embase 和 Google Scholar 上进行的搜索.
- 根据资格标准选择和评估了16篇文章.
主要成果:
- 确定了1961项研究,其中16项符合纳入标准.
- 基于大数据的3V分析的PM数据特征.
- 关键领域包括数据质量,存储基础设施,云计算和安全/隐私.
结论:
- 一个合适的PM基础设施必须整合和存储异质数据.
- 从其他行业中利用大数据管理可以促进PM实施.
- 调整数据特征可以防止重复,并增强PM计划.
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