Abstract
This paper presents the cognitive model of gastroesophageal reflux disease (GERD) developed for the Maryland Virtual Patient simulation and mentoring environment. GERD represents a class of diseases that have a large number of clinical manifestations. Our model at once manages that complexity while offering robust automatic function in response to open-ended user actions. This ontologically grounded model is largely based on script-oriented representations of causal chains reflecting the actual physiological processes in virtual patients. A detailed description of the GERD model is presented along with a high-level description of the environment for which it was developed.
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McShane, M., Nirenburg, S., Beale, S., Jarrell, B., Fantry, G. (2007). Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds) Artificial Intelligence in Medicine. AIME 2007. Lecture Notes in Computer Science(), vol 4594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73599-1_4
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DOI: https://doi.org/10.1007/978-3-540-73599-1_4
Publisher Name: Springer, Berlin, Heidelberg
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