Although case-based reasoning (CBR) was introduced as an alternative to rule-based reasoning (RBR), there is a growing interest in integrating it with other reasoning paradigms, including RBR. New hybrid approaches are being piloted to achieve new synergies and improve problem-solving capabilities. In our approach to integration, CBR is used to satisfy multiple numeric constraints, and RBR allo...

OBJECTIVE The potential difficulty in doing initial dilation in the percutaneous dilational tracheostomy (PDT) with the Ciaglia Blue Rhino (CBR) technique has been reported by others and encountered in our clinical practice. To resolve this problem, we developed a modified CBR technique by using a guidewire dilating forceps (GWDF) to facilitate initial dilation. The present before-and-after com...

Carbonyl reductase (CBR) is a cytosolic NADPH-dependent oxidoreductase metabolizing prostaglandins, steroids, quinines, and anthracycline antibiotics. Many experimental studies have shown that CBR plays important roles in the regulation of tumor progression, but clinical significance of CBR status remains unclear. Thus, we conducted a retrospective study on CBR mRNA expression in lung cancer. T...

This tutorial article introduces the concepts and applications of Case-based Reasoning (CBR) systems. The first section briefly describes what is CBR, when to use CBR and why use CBR. The second section looks at the description and indexing of cases in CBR systems. The retrieval and adaptation processes for finding solutions are outlined in section three. Learning and maintenance of CBR, due to...

This work is the second part of a general similarity-based theory of case-based reasoning (CBR), which moves CBR towards a firm theoretical foundation based on similarity-based reasoning. This paper will first examine abductive CBR and deductive CBR and propose a knowledge-based model for integrating abductive CBR and deductive CBR. It then proposes similarity-based models for rule-based and fu...

In this paper, we proposed a hybrid system to combine the self-organizing map (SOM) of neural network with case-based reasoning (CBR) method, for sales forecast of new released books. CBR systems have been successfully used in several domains of artificial intelligence. In order to enhance efficiency and capability of CBR systems, we connected the SOM method to deal with cluster problems of CBR...

Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving based on past experience. CBR combines aspects from the knowledge-based systems as well as from the machine learning field. In this chapter we present the main characteristics of CBR technology, describe the main CBR subtasks and methods, and the main underlying principles. CBR is presented more fr...

Maintenance of Case-Based Reasoning (CBR) systems became an important area since applications of CBR technologies were established in different real-world domains. Maintenance issues cover all aspects that help to keep a running CBR system in a usable state of high quality. Concepts and techniques that were developed for maintenance of CBR systems range from methodologies and frameworks that pa...

This paper will examine new issues resulting from applying CBR in e-commerce and propose a unified logical model for CBR-based e-commerce systems (CECS) which consists of three cycles and covers almost all activities of applying CBR in e-commerce. This paper also decomposes case adaptation into problem adaptation and solution adaptation, which not only improves the understanding of case adaptat...