Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations

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.

• Type: Conference
• Year: 2007
• Where: AIME
• Authors: Marjorie McShane, Sergei Nirenburg, Stephen Beale, Bruce Jarrell, George Fantry
• Keywords: AIME 2007, Artificial Intelligence, GERD, Model, Virtual Patients