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生物医学数据科学中的增强隐私技术

Hyunghoon Cho1, David Froelicher2, Natnatee Dokmai1

  • 1Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut, USA;

Annual review of biomedical data science
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概括
此摘要是机器生成的。

增强隐私技术 (PETs) 保护敏感的生物医学数据,使更广泛的数据共享和分析成为可能. 本综述强调了PET的进展和应用,解决了在数据科学中更广泛采用的挑战.

关键词:
生物医学数据隐私隐私 生物医学数据隐私合作研究合作研究.分享数据的数据共享.基因组隐私 基因组隐私增强隐私的技术 增强隐私的技术安全的计算安全计算.

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科学领域:

  • 生物医学数据科学 生物医学数据科学
  • 医疗信息学 医疗信息学
  • 生物信息学是一种生物信息学.

背景情况:

  • 越来越多的生物医学数据存储库带来了重大的隐私挑战.
  • 现有的数据共享框架提供了不足的保护,导致数据孤岛.
  • 增强隐私的技术 (PETs) 对于安全的数据利用至关重要.

研究的目的:

  • 审查着名的PET及其在生物医学进步中的作用.
  • 为了说明PET的关键用例,技术进步和应用.
  • 讨论PET采用的挑战和社会考虑.

主要方法:

  • 关于突出的隐私增强技术的文献评论.
  • 对PET的使用案例和技术进步进行分析.
  • 检查各种生物医学领域的PET应用.

主要成果:

  • 对于保护敏感的生物医学数据,PETs提供了强大的解决方案.
  • 关键的PET表明了重要的技术进步和多样化的应用.
  • 在多个生物医学领域,PETs的成功实施是显而易见的.

结论:

  • 在生物医学数据共享中,PET对于克服隐私问题至关重要.
  • 解决未解决的挑战和社会因素对于广泛采用PET至关重要.
  • PET具有巨大的潜力,可以改变生物医学数据科学和研究.