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 possible false negative user reporting, by looking into candidate values of y and identifying x values (symptoms) which have not been initially provided by the user. The user can specify parameters such as the minimum probability ratio of the final output, the minimum probability ratio of the y values for which the non-user given x values will be reevaluated, and the maximum number of user feedback loops. In order to validate the method, we use a comprehensive 2012 Medicare Claims dataset with 15 million cases.
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, namely the domain of disability (cognitive, physical, psychological and behavioral), the function to be assessed for those domains (i.e. hand-eye coordination, working memory capacity) and the assessment method for each one of the functions. We plan to use Minecraft to develop the assessment tool, since it supports activity based mini-games (fishing, archery, maze, puzzles, etc.) and also allows for modifications, serving as an ideal platform for our GE-CDA tool.
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