Information Systems and Technology (CGU)
Computer Sciences | Databases and Information Systems | Psychology
Autism spectrum disorder has become one of the most prevalent developmental disorders, characterized by a wide variety of symptoms. Many children need extensive therapy for years to improve their behavior and facilitate integration in society. However, few systematic evaluations are done on a large scale that can provide insights into how, where, and how therapy has an impact. We describe how data mining techniques can be used to provide insights into behavioral therapy as well as its effect on participants. To this end, we are developing a digital library of coded video segments that contains data on appropriate and inappropriate behavior of autistic children in different social settings during different stages of therapy and. In general, we found that therapy increased appropriate behavior and decreased inappropriate behavior. Decision trees and association rules provided more detailed insights for high and low levels of appropriate and inappropriate behavior. We found that a child's interaction with a parent or therapist led to especially high levels of appropriate behavior and behavior is most predictable while therapy is in progress.
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G. Leroy, A. Irmscher, and M.H. Charlop-Christy, "Data Mining Techniques to Study Therapy Success with Autistic Children", 2006 International Conference on Data Mining, 26 - 29 June 2006, Monte Carlo Resort, Las Vegas, USA.