Medical case-based reasoning: A review of retrieving, matching and adaptation processes in recent systems

Munirah Mohd Yusof, Christopher D. Buckingham

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

Abstract

Case Based Reasoning (CBR) is an active research area and a well established method for developing decision support systems in the medical domain. CBR systems retrieve and reuse solutions from previously solved problems to solve new problems. This paper summarizes CBR applications for diagnosis and planning in the medical domain over the last five years, reviewing their retrieval, matching, and adaptation processes in particular.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009
Pages72-76
Number of pages5
Publication statusPublished - 1 Dec 2009
EventIASTED International Conference on Artificial Intelligence and Applications, AIA 2009 - Innsbruck, United Kingdom
Duration: 16 Feb 200918 Feb 2009

Conference

ConferenceIASTED International Conference on Artificial Intelligence and Applications, AIA 2009
CountryUnited Kingdom
CityInnsbruck
Period16/02/0918/02/09

Keywords

  • Case Based Reasoning
  • Health informatics
  • Medical decision support systems

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