Data Mining Methods for Case-Based Reasoning in Health Sciences

Case-based reasoning (CBR) systems often refer to diverse data mining functionalities and algorithms. This article locates examples, many from health sciences domains, mapping data mining functionalities to CBR tasks and steps, such as case mining, memory organization, case base reduction, generalized case mining, indexing, and weight mining. Data mining in CBR focuses greatly on incremental mining for memory structures and organization with the goal of improving performance of retrieval, reuse, revise, and retain steps. Researchers are aiming at the ideal memory as described in the theory of the dynamic memory, which follows a cognitive model, while also improving performance and accuracy in retrieve, reuse, revise, and retain steps. Several areas of potential crossfertilization between CBR and data mining are also proposed.