Privacy-Preserving Data Sharing for Health Data Mining

卫生数据挖掘是以有效和可扩展的方式从大量卫生数据中提取有用知识的过程。一个有效的数据共享系统对健康数据挖掘具有重要的支持作用。云计算的出现极大地提高了健康数据共享的潜力，因为它具有强大的计算能力、灵活的服务组合性、高可用性和低维护。特别是，云计算中的数据即服务（DaaS）的新范例是向数据接收者提供灵活的按需数据服务，而不考虑其设备、平台、时间或位置，同时仅按其使用的内容收费。这些理想的特性使云计算成为下一代医疗保健信息基础设施的自然选择。然而，在医疗保健领域采用这种技术的主要障碍是缺乏对足够隐私保护的信任。

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.