The particular strength of CBR is normally considered to be its use in weak theory domains where solution quality is compiled into cases and is reusable. In this paper we explore an alternative use of CBR in optimisation problems where cases represent highly optimised structures in a huge highly constrained solution space. Our analysis focuses on the Travelling Salesman Problem where difficulty...

OBJECTIVE Medical applications have special features (interpretation of results in medical metrics, experiment reproducibility and dealing with complex data) that require the development of particular tools. The eXiT*CBR framework is proposed to support the development of and experimentation with new case-based reasoning (CBR) systems for medical diagnosis. METHOD Our framework offers a modul...

OBJECTIVES Clinical benefit response (CBR), based on changes in pain, Karnofsky performance status, and weight, is an established palliative endpoint in trials for advanced gastrointestinal cancer. We investigated whether CBR is associated with survival, and whether CBR reflects a wide-enough range of domains to adequately capture patients' perception. METHODS CBR was prospectively evaluated ...

PURPOSE The CBR Guidelines are being developed by UN Agencies and civil society groups including disabled people's organisations (DPO). The aim of the CBR guidelines is to enhance the quality of life of people with disabilities including those affected by leprosy. Strong linkages between leprosy programmes and CBR will optimise the benefit of medical care and ensure leprosy-affected people acce...

A Case-Based Reasoning (CBR) tool is software that can be used to develop several applications that require cased-based reasoning methodology. CBR shells are kind of application generators with graphical user interface. They can be used by non-programmer users but the extension or integration of new components in these tools is not possible. In this paper we analyzed three CBR object-oriented f...

This overview of different applications of CBR in petroleum engineering is based on a survey and comparative evaluation of different successful applications of CBR. The number of papers and research groups is indicative of importance, need, and growth of CBR in different industries. Applicationoriented research in the area of case based reasoning has moved mature research results into practical...

Case-Based Reasoning (CBR) is a relatively new and promising technique of artificial intelligence. By CBR, every new problem is solved by adapting the solutions of the similar problems previously solved successfully. During the past few years CBR has become a very popular technique for application in knowledge-based systems for different domains because the experience has been included in solvi...

Query formulation is a primary task in the retrieval phase of the case-based reasoning (CBR) cycle, and incremental variants of this task are a distinguishing characteristic of some mixed-initiative CBR approaches (e.g., those that implement a conversational CBR methodology). However, it has rarely been the focus of analysis, which complicates comparing these approaches. We identify the primiti...

Case-Based Reasoning (CBR) is one of the most suitable AI techniques for building clinical decision support systems. Medical domain complexity introduces many challenges for building these systems. Building the systems’ knowledge base from the Electronic Health Record (EHR), the encoding of case-base knowledge with standard medical ontology, and the handling of vague data are examples of these ...

As the previous chapters of this book have shown, case-based reasoning is a technology that has been successfully applied to a large range of diierent tasks. Through all the diierent CBR projects, both basic research projects as well as industrial development projects, lots of knowledge and experience about how to build a CBR application has been collected. Today, there is already an increasing...