The Application of Case-Based Reasoning to the Tasks of Health Care Planning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
A Two Layer Case-Based Reasoning Architecture for Medical Image Understanding
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Case-Based Reasoning in the Care of Alzheimer's Disease Patients
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Case-Based Reasoner Adaptive to Different Cognitive Tasks
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
A Model for Centering Visual Stimuli Through Adaptive Value Learning
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Medical applications in case-based reasoning
The Knowledge Engineering Review
Prototypical case mining from biomedical literature for bootstrapping a case base
Applied Intelligence
Prototypical Cases for Knowledge Maintenance in Biomedical CBR
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Prototypes for Medical Case-Based Applications
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Case-based reasoning in the health sciences: What's next?
Artificial Intelligence in Medicine
GUEST EDITORIAL: Case-based reasoning in the health sciences
Artificial Intelligence in Medicine
ISOR-2: a case-based reasoning system to explain exceptional dialysis patients
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
The 4 diabetes support system: a case study in CBR research and development
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Supporting adaptive clinical treatment processes through recommendations
Computer Methods and Programs in Biomedicine
Introduction of a combination vector to optimise the interpolation of numerical phantoms
Expert Systems with Applications: An International Journal
Case-based reasoning emulation of persons for wheelchair navigation
Artificial Intelligence in Medicine
Case-Based Reasoning adaptation of numerical representations of human organs by interpolation
Expert Systems with Applications: An International Journal
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Biomedical domains have been an application domain of choice for artificial intelligence (AI) since its pioneering years in expert systems. Some simple explanations to this phenomenon are the intellectual complexity presented by this domain, as well as the dominant industry market share of healthcare. Following in AI's tracks, case-based reasoning (CBR) has been abundantly applied to the health sciences domain and has produced an excellent as well as varied set of publications, which has fostered CBR research innovation to answer some of the research issues associated with this intricate domain. Some notable examples are synergies with other AI methodologies, and in particular with ontologies [8] and with data mining, the study of the temporal dimension in CBR, the processing of multimedia cases, and novel tasks for CBR such as parameter setting. However CBR has a major endeavor to take on in the health sciences: how to position itself with regard to statistics for studying data? Some claim that CBR proposes an alternative viewpoint on the concept of evidence in biomedicine; others that CBR and statistics complement one another in this domain. In any case, an interesting question to study is whether CBR could become one day as fundamental to the health sciences as statistics is today? This question in particular broadens the health sciences challenge to a universal scope.