A conceptual framework for trajectory-based medical analytics with IoT contexts
作者： Hyun Jung La
DOI: 10.1016/J.JCSS.2015.10.007
关键词: Computer science 、 Medical diagnosis 、 Knowledge management 、 Data science 、 Analytics 、 Software implementation 、 Health care 、 Trajectory 、 Diagnosis methods 、 Internet of Things 、 Conceptual framework
摘要: We presented formal models for disease diagnosis schemes.We defined representations rules.We analytics methods implementing the a result of applying schemes to healthcare application, called smart toilet system. With increasing availability medical IoT devices, it becomes feasible collect health contexts from personal devices and perform assess conditions identify potential diseases. However, there exist technical challenges in developing such applications; transforming physicians machine-readable forms software implementation analytic schemes. In this paper, we present methodology foundation analyzing contexts. That is, formalize five representative application.
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