Zusammenfassung: |
Computational intelligence researchers have often applied their systems and methods to health sciences domains. Some of the most famous expert systems were developed in these domains. This particular interest also holds for case-based rea-soning (CBR). This article first discusses the motivations for applying CBR to health sciences domains and the character-istics of these domains. It then provides a survey of CBR systems in health sciences from its history to the impact on case-based reasoning research and on the application domains. Finally, the article presents a comparison between case-based reasoning and statistics in health sciences domains. As a matter of fact, both statistics and case-based reasoning are data analysis methods, and both deal with variation inherent to health sciences domains. However, both methods present main differences in their methodologies for addressing the characteristics of health sciences domains. Of particular interest is the specific role played by cases within the knowledge spectrum as individual contextual knowledge. This kind of knowl-edge, representing an experience or an example, also called a case, can serve as a bridge between data, in which knowl-edge is implicit, and models, in which knowledge is explicit. |
