Retrieval in a prototype-based case library: A case study in diabetes therapy revision

Riccardo Bellazzi, Stefania Montani, Luigi Portinale

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

Abstract

Case retrieval is a complex and important stage of the overall CBR process, involving situation assessment and a flexible combination of case memory search and matching. The goal of the paper is to discuss a retrieval approach in a case library organized through classes of prototypes. Situation assessment is realized with a Bayesian classification step, aimed at defining a uniform framework for feature evaluation and at restricting search only to relevant parts of the case library. Classical k-NN methods or pruning based technique like Pivoting-Based Retrieval can then be applied to retrieve and match cases, by considering intra-class or inter-class retrieval. The proposed method has been evaluated within a decision support system for the therapy revision of patients affected by Diabetes Mellitus.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages64-75
Number of pages12
Volume1488
ISBN (Print)3540649905, 9783540649908
DOIs
Publication statusPublished - 1998
Event4th European Workshop on Case-Based Reasoning, EWCBR 1998 - Dublin, Ireland
Duration: Sep 23 1998Sep 25 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1488
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th European Workshop on Case-Based Reasoning, EWCBR 1998
Country/TerritoryIreland
CityDublin
Period9/23/989/25/98

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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