Privacy-Preserving Data Sharing for Health Data Mining

健康数据挖掘是以高效和可扩展的方式从海量健康数据中提取有用知识的过程。一个有效的数据共享系统对支持健康数据挖掘起着重要的作用。云计算的出现，以其强大的计算能力、灵活的服务可组合性、高可用性和低维护性，极大地提高了健康数据共享的潜力。特别是，云计算中数据即服务(DaaS)的新范式是向数据接收者提供灵活的按需数据服务，而不考虑他们的设备、平台、时间或位置，同时只对他们使用的内容收费。这些令人向往的特性使云计算成为下一代医疗信息基础设施的自然选择。然而，在医疗保健领域采用这项技术的主要障碍是对足够的隐私保护缺乏信任。

Health data mining is the process of extracting useful knowledge from a large volume of health data in an efficient and scalable manner. An effective data sharing system plays an important role in supporting health data mining. The emergence of cloud computing has significantly improved the potential of sharing health data due to its powerful computation capability, flexible service composability, high availability, and low maintenance. In particular, the new paradigm of Data-as-a-Service (DaaS) in cloud computing is to provide flexible, on-demand data service to data recipients regardless of their devices, platforms, times, or locations, while charging only for what they use. These desirable properties make cloud computing a natural choice for the next generation of healthcare information infrastructure. Yet, the major obstacle to adopting this technology in the healthcare sector is a lack of trust in sufficient privacy protection.