Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Using case-based reasoning to diagnostic screening of children with developmental delay
Expert Systems with Applications: An International Journal
Mining association rules from imprecise ordinal data
Fuzzy Sets and Systems
An Agent-Based Decision Support System for Ecological-Medical Situation Analysis
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Modeling and implementing an agent-based environmental health impact decision support system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Applying data mining to explore the risk factors of parenting stress
Expert Systems with Applications: An International Journal
Exploring the risk factors of preterm birth using data mining
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
The implementation of early intervention has close relation to the growth development of developmentally-delayed children. The earlier the intervention is involved the more significant effects and results it will bring to the benefits of these young children. However, providing early intervention exclusively without finding out the relationship between the two would eventually leave the problematic point remain unsolved. Since a child's becoming developmental delay is resulted from many factors, much of the valuable knowledge among all needs to be unveiled. In the process of knowledge discovery, use data mining approach to nugget out potential knowledge from vast amounts of data. The main purpose of this study is to explore the hidden knowledge among medical history data of developmentally-delayed children. Fields of medical history database belongs to set and binary, so decision tree is constructed to classify delay levels of each type according to physical illness, and association rule is applied to locate correlations between cognitive, language, motor, and social emotional developmental delays. The study results indicate that the majority of illnesses will result in delays in cognitive, language, and motor development. Simultaneously, among all types of delay, motor and cognitive delay mostly accompanies with symptoms of language delay. The results of this study enable healthcare professionals to be on top of the developments of young children during the process of evaluation and diagnosis, and to provide early intervention so that developmentally-delayed children can catch up with their normal peers in development and growth.