授权精准医学:通过区块链启用联合学习和电子医疗记录解锁革命性的见解
Aitizaz Ali1,2, Bander Ali Saleh Al-Rimy3, Ting Tin Tin2
1School of IT, UNITAR International University, Kelana Jaya, Petaling Jaya 47301, Malaysia.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
区块链支持的联合学习与电子医疗记录 (EMR) 提供了一种安全的方式来分析患者数据,用于精准医学. 这种方法可以解锁个性化医疗保健的洞察力,而不会集中敏感信息.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 区块链技术应用 区块链技术应用
背景情况:
- 精准医学需要广泛,多样化的患者数据来进行个性化治疗.
- 当前的数据共享方法面临着隐私,安全和数据完整性的挑战.
- 电子医疗记录 (EMR) 包含有价值的,但往往是孤立的患者信息.
研究的目的:
- 探索区块链支持的联合学习,以安全分析EMR数据.
- 为了展示这种方法如何为精准医学打开洞察力.
- 为了解决数据隐私和安全问题在协作医学研究.
主要方法:
- 利用区块链进行分散的数据共享和不变的记录保存.
- 实施联合学习,在不集中的情况下在本地EMR数据上训练模型.
- 通过区块链协议确保数据完整性,可追溯性和患者同意管理.
主要成果:
- 在分布式EMR上实现机器学习模型的安全,协作训练.
- 通过将数据局部化在医疗机构中来保护患者的隐私.
- 促进了跨不同患者群体的模式和见解的发现.
结论:
- 区块链支持的联合学习是精准医学的变革性解决方案.
- 这种方法提高了诊断准确性,治疗优化和药物开发.
- 区块链的透明度促进了利益相关者之间的信任和合作.
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