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In this research, we use prostate cancer as an example to describe the idea of using Internet of Things (IoT) technology as part of the care process for chronic diseases. IoT provides ways to monitor and collect critical risk elements data that relate to the causes and development of the disease and its comorbidities, on a real time basis over a long period of time by sensing and communication capacity. The risk models and their evidences are gathered from literature, and they will be semantically described to support the knowledge to be used by other applications. The personal data collected by IoT devices combined with risk models will provide individual risk prediction. The prediction can be used by patients in self-managing their chronic disease, and also help medical professionals to take in-sight look into the progression of the disease for the individual patient, in order to prescribe the best suitable care plan and …