1994 | OriginalPaper | Chapter
Model Selection for Diagnosis and Treatment Using Temporal Influence Diagrams
Author : Gregory M. Provan
Published in: Selecting Models from Data
Publisher: Springer New York
Included in: Professional Book Archive
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This paper describes the model-selection process for a temporal influence diagram formalization of the diagnosis and treatment of acute abdominal pain. The temporal influence diagram explicitly models the temporal aspects of the diagnosis/treatment process as the findings (signs and symptoms) change over time. Given the complexity of this temporal modeling process, there is uncertainty in selecting (1) the model for the initial time interval (from which the process evolves over time); and (2) the stochastic process describing the temporal evolution of the system. Uncertainty in selecting the initial Bayesian network model is addressed by sensitivity analysis. The choice of most appropriate stochastic process to model the temporal evolution of the system is also discussed briefly.