Using case-based reasoning to diagnostic screening of children with developmental delay

CBR is a technology that resolves problems; it resolves currently encountered problems based on previous experiences, which is very similar to the way human beings solve problems by learning from experiences. Since CBR possesses memory functions, which allow it to make judgments and comparisons on new cases, based on old cases saved in the system previously, it is appropriate to apply CBR to a supporting system that has characteristics of invisibility and variation. Therefore, this study uses CBR to establish a screening system of developmental delayed children hoping to increase the screening efficiency. After system verification, the reasoning mean of case similarity is 0.92, and that of accuracy, 0.91, indicating a high level of verification results of this system, and thereby verifying a high level of feasibility of the system.