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Multi-Source Data Sensing in Mobile Personalized Healthcare Systems: Semantic Linking and Data Mining

机译：移动个性化医疗系统中的多源数据传感：语义链接和数据挖掘

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The paper introduces an approach to collecting and mining health-related information on the patient based on sensed data from various medical devices as well as from other digitally-enabled sources. The regularly sensed data are semantically linked thus creating an additional information space-semantic layer. On the latter, a linked knowledge-rich structure-semantic network-is maintained and used to construct mobile services. The use of various medical devices and other data sources makes it possible to remotely monitor patients' vital physiological parameters and other important health-related events. It includes sensing the context of the physical environment, which is then coupled with the health state of the patient. Several patients and interested people can be virtually integrated into a group. Consequently, social methods can be used for enhancing the treatment adherence and for motivating the healthcare goals. As such, the healthcare services would have became more focused on the patients and their needs. Ultimately, the mobile healthcare moves towards the vision of At-Home Laboratory (AHL) that diminishes the necessity to visit the hospital and to directly use its facility.
机译：本文介绍了一种基于各种医疗设备以及其他数字化来源的感测数据来收集和挖掘患者健康相关信息的方法。定期感测的数据在语义上链接在一起，从而创建了一个附加的信息空间语义层。在后者上，维护了一个链接的知识丰富的结构语义网络，并用于构建移动服务。使用各种医疗设备和其他数据源可以远程监视患者的重要生理参数和其他重要的健康相关事件。它包括感测物理环境的上下文，然后将其与患者的健康状态相结合。可以将几个患者和感兴趣的人虚拟地整合到一个组中。因此，社交方法可用于增强治疗依从性和促进医疗保健目标。因此，医疗保健服务将更加专注于患者及其需求。最终，移动医疗朝着家庭实验室（AHL）的愿景发展，从而减少了参观医院和直接使用其设施的必要性。

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