A conceptual framework for trajectory-based medical analytics with IoT contexts.

With the increasing availability of medical IoT devices, it becomes feasible to collect health contexts from personal IoT devices and perform analytics to assess the health conditions and identify potential diseases. However, there exist technical challenges in developing such personal healthcare applications; transforming disease diagnosis methods of physicians in machine-readable forms and software implementation of the medical analytic schemes. In this paper, we present a methodology foundation for analyzing medical contexts. That is, we formalize five representative medical diagnosis schemes for personal healthcare application. [ABSTRACT FROM AUTHOR]