Disease Interaction in Cognitive Simulations for Medical Training
نویسنده
چکیده
Maryland Virtual Patient (MVP) is a simulation and tutoring system for training medical personnel in cognitive decision making skills. It is implemented as an agent network using an ontological knowledge substrate. This paper focuses on disease interaction in the MVP environment, including how diseases and/or their treatments can automatically give rise to other diseases, and how disease manifestation can be altered by another concurrent disease.
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تاریخ انتشار 2015