Fifth Workshop on Case-Based Reasoning in the Health Sciences Isabelle Bichindaritz

Main contribution synergy between case-based reasoning and hypothetico-deductive reasoning explanations in CBR

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Case-based Reasoning for managing non-compliance with clinical guidelines, Stefania Montani, University of Piemonte Orientale, Alessandria, Italy A CBR system able to

Retrieve similar past episodes (cases) of non-compliance to guidelines, to be suggested to the physician
Learn more general indications from ground non-compliance cases, adoptable for a formal GL revision by an experts committee

CBR for Temporal Abstractions Configuration in Haemodyalisis, Leonardi Giorgio, Bottrighi Alessio, Portinale Luigi, Montani Stefania, University of Piemonte Orientale, Alessandria, Italy A CBR system able to choose the appropriate parameters for the configuration of temporal abstractions in medical domain of haemodyalisis

Prototypical Cases for Knowledge Maintenance in Biomedical CBR, Isabelle Bichindaritz, University of Washington, Tacoma, WA, USA Prototypical cases have served various purposes in biomedical CBR systems, among which to organize and structure the memory, to guide the retrieval as well as the reuse of cases, and to serve as bootstrapping a CBR system memory when real cases are not available in sufficient quantity and/or quality. Knowledge maintenance is yet another role that these prototypical cases can play in biomedical CBR systems

Integration of CBR with electronic patient records and/or in clinical practice (Begum et al., Marling et al.)
Importance of prototypical cases (Bichindaritz)
Incompleteness / non-reliability of cases or CBR system knowledge (Vorobieva et al., Cordier et al., Bichindaritz)
Novel domains of applications for CBR (Perner, Leonardi et al., Montani)
Need for synergy with other AI methods (Song et al., McSherry)

Remember Occam’s razor – introducing complexity in CBR should be carefully justified
Knowledge in medical cases / domain knowledge is often questionable – finding methods for dealing with this reality is essential for the development of CBR in biomedical domains
CBR can be promoted as the methodology of choice for evidence gathering in evidence-based medicine

A second special issue on CBR in the Health Sciences, based on papers from this Fifth Workshop on CBR in the Health Sciences is going to be published in Computational Intelligence.
The Web-site (version 1.beta) and mailing list for our research group are now live: http://www.cbr-health.org http://www.cbr-biomed.org

A book on CBR in the Health Sciences is in preparation. Please contact us should you want to contribute – we may also contact you !

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