GAMEES II: An environment for building probabilistic expert systems based on arrays of Bayesian belief networks

R. Bellazzi, S. Quaglini, C. Berzuini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The authors describe GAMEES II (Graphical Modeling Environment for Expert Systems II), a computer system built to manage arrays of Bayesian belief networks (BBNs). With regard to biomedical applications, the system makes it possible to represent probabilistic knowledge both for the individual patient and for population, enlarging the class of problems actually represented through BBNs. In addition, mathematical models can be represented through the BBN formalism. These characteristics were exploited to perform model-based patient monitoring and population pharmacokinetic/pharmacodynamic studies. BBNs are built within GAMEES II through a graphical interface which is provided with some statistical knowledge, in order to facilitate the construction of sound statistical models. Probabilistic inference is performed by stochastic simulation algorithms that do not give rise to computational problems when dealing with complex networks.
Original languageEnglish
Title of host publicationProceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems
Subtitle of host publication14-17 June 1992
Place of PublicationNew York
PublisherIEEE
Pages546-553
Number of pages8
ISBN (Print)0818627425
DOIs
Publication statusPublished - 1992

Keywords

  • Expert systems
  • Medical expert systems
  • Computer networks
  • Biomedical computing
  • Computer network management
  • Environmental management
  • Bayesian methods
  • Application software
  • Mathematical model
  • Patient monitoring

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