Case-based reasoning: a research paradigm
AI Magazine
Case-based reasoning
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
A study of applying data mining to early intervention for developmentally-delayed children
Expert Systems with Applications: An International Journal
Two stages of case-based reasoning - Integrating genetic algorithm with data mining mechanism
Expert Systems with Applications: An International Journal
A hybrid diagnosis model for determining the types of the liver disease
Computers in Biology and Medicine
A narrative-based reasoning with applications in decision support for social service organizations
Expert Systems with Applications: An International Journal
A recommender mechanism based on case-based reasoning
Expert Systems with Applications: An International Journal
A fuzzy rule-based approach for screening international distribution centres
Computers & Mathematics with Applications
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
Knowledge-based extraction of intellectual capital-related information from unstructured data
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
According to the statistics of health organizations of the United Nations, population of children with developmental delay approximately takes 6-9% of the total population. Take the number of newborns (9420) in rural Yunlin County of Taiwan in year 2002 for estimation; there will be approximately 700 (cases regarded developmental delay with suspicion) suspect cases each year. When symptoms of these children are detected early and early intervention given appropriately, wastes in medical resources and social costs could be effectively reduced. Overseas researches show that for children with developmental delay, the best time to intervene is prior to the age of six, and it is golden treatment period before three and a half years old. Studies indicate that when developmentally delayed children receive early intervention, they will show significant improvement in symptoms; some might even recover completely. This study adopts the characteristics of case-based reasoning (CBR) to enhance the screening efficiency 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.