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Case-based reasoning in CARE-PARTNER: Gathering evidence for evidence-based medical practice

  • Isabelle Bichindaritz
  • Emin Kansu
  • Keith M. Sullivan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1488)

Abstract

This paper presents the CARE-PARTNER system. Functionally, it offers via the WWW knowledge-support assistance to clinicians responsible for the long-term follow-up of stem-cell post-transplant patient care. CARE-PARTNER aims at implementing the concept of evidence-based medical practice, which recommends the practice of medicine based on proven and validated knowledge. From an artificial intelligence viewpoint, it proposes a multimodal reasoning framework for the cooperation of case-based reasoning, rule-based reasoning and information retrieval to solve problems. The role of case-based reasoning is presented in this paper as the collection of evidence for evidence-based medical practice. Case-based reasoning permits to refine and complete the knowledge of the system. It enhances the system by conferring an ability to learn from experience, and thus improve results over time.

Keywords

Graft Versus Host Disease Unify Medical Language System Knowledge Element Temporal Abstraction Practice Case 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Isabelle Bichindaritz
    • 1
  • Emin Kansu
    • 1
  • Keith M. Sullivan
    • 1
  1. 1.Clinical Research DivisionFred Hutchinson Cancer Research CenterSeattle

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