## Abstrakt

This paper describes the use of the object oriented Bayesian network
framework in two applications in the medical domain. The first example models
the glucose metabolism in humans and is intended for planning of insulin
injections for diabetics. The main characteristic of this application is a
temporal repetition of identical model structures, where the basic building
block consists of a one hour model of the metabolism. This type of model is
usually modeled as a dynamic Bayesian Network, and we show how object reuse, and
in particular the concept of time slices, can be exploited in the construction
of such models. The other application is the MUNIN system for diagnosis of
perioheral muscle and nerve diseases, that is characterized by a number of
(almost) identical anatomical structures. The modeling of such structures
benefit drom inheritance properties of object oriented Bayesian networks, and we
further illustrate how time slices can be used to combine partial contributions
of some effect to an overall description of the joint effect of those
contributions. It is concluded that the virtues of the object oriented framework
eases the specification and manitenance of large decision support
systems

Originalsprog | Engelsk |
---|---|

Titel | Proceedings of SCAI' 03 |

Forlag | <Forlag uden navn> |

Publikationsdato | 2003 |

Status | Udgivet - 2003 |

Begivenhed | Eighth Scandinavian Conference on Artificial Intelligence (SCAI'03) - Bergen, Norge Varighed: 19 maj 2010 → … |

### Konference

Konference | Eighth Scandinavian Conference on Artificial Intelligence (SCAI'03) |
---|---|

Land/Område | Norge |

By | Bergen |

Periode | 19/05/2010 → … |