Multi-modal reasoning in diabetic patient management

Stefania Montani, Riccardo Bellazzi, Luigi Portinale, Alberto Riva, Mario Stefanelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages113-123
Number of pages11
Volume1620
ISBN (Print)354066162X, 9783540661627
Publication statusPublished - 1999
Event7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 - Aalborg, Denmark
Duration: Jun 20 1999Jun 24 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1620
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999
CountryDenmark
CityAalborg
Period6/20/996/24/99

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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