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Case-Based Reasoning in the Health Sciences: Foundations and Research Directions

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Computational Intelligence in Healthcare 4

Part of the book series: Studies in Computational Intelligence ((SCI,volume 309))

Abstract

Case-based reasoning (CBR) is an Artificial Intelligence (AI) approach with broad applicability to building intelligent systems in health sciences domains. It represents knowledge in the form of exemplary past experiences, or cases. It is especially well suited to health sciences domains, where experience plays a major role in acquiring knowledge and skill, and where case histories inform current practice. This chapter provides a broad overview of CBR in the Health Sciences, including its foundations and research directions. It begins with introductions to the CBR approach and to health sciences domains, and then explains their synergistic combination. It continues with a discussion of the relationship between CBR and statistical data analysis, and shows how CBR supports evidence-based practice. Next, it presents an in-depth analysis of current work in the field, classifying CBR in the Health Sciences systems in terms of their domains, purposes, memory and case management, reasoning, and system design. Finally, it places CBR with respect to other AI approaches used in health sciences domains, showing how CBR can complement these approaches in multimodal reasoning systems.

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Authors and Affiliations

  1. Institute of Technology, University of Washington, Tacoma, 1900 Commerce Street, Tacoma, Washington, 98402, USA

    Isabelle Bichindaritz

  2. School of Electrical Engineering and Computer Science, Russ College of Engineering and Technology, Ohio University, Athens, Ohio, 45701, USA

    Cindy Marling

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  1. Isabelle Bichindaritz
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Editors and Affiliations

  1. Institute of Technology/Computing and Software Systems, University ofWashington, Tacoma, 1900 Commerce Street, Campus Box 358426, 98402, Tacoma, WA, USA

    Isabelle Bichindaritz

  2. Flinders Medical Centre, Adelaide, South Australia, Australia

    Sachin Vaidya

  3. Royal Adelaide Hospital, Adelaide, South Australia, Australia

    Ashlesha Jain

  4. School of Electrical and Information Engineering, University of South Australia, SA 5095, South Australia, Australia

    Lakhmi C. Jain

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Bichindaritz, I., Marling, C. (2010). Case-Based Reasoning in the Health Sciences: Foundations and Research Directions. In: Bichindaritz, I., Vaidya, S., Jain, A., Jain, L.C. (eds) Computational Intelligence in Healthcare 4. Studies in Computational Intelligence, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14464-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-14464-6_7

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