Philip Makedon

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In this paper, we describe a probabilistic algorithm with user feedback loop, which can be used for decision making during the patient triage process. Given an R{x, y} the method relies on the user defining a set of x values (i.e. symptoms) and the algorithm returns a collection of y values as a hidden layer (possible diseases), taking into consideration a(More)
We describe a framework for the development of a gaming environment for the assessment of children with a spectrum of disabilities (GE-CDA tool). A typical case example is that of Cerebral Palsy (CP). We follow an evidence-based approach to identify the required domains which need to be addressed in the GE-CDA tool. Three different axes are considered,(More)
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