Abstract
Current studies indicate that 1 in 68 children have Autism Spectrum Disease. It is known that early diagnosis and intervention can alter the course of development and significantly improve the prognosis of the disease. It is our intention to develop a task Recommendation System, which will use a Case-based Reasoning machine learning technique, in order to supplement the child’s regular therapy. Besides the tasks’ recommendation, this application will allow a closer monitoring by parents and a better coordination with the therapists, contributing to improve the results on child’s development.
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Acknowledgements
This work is partially supported by the MINECO/FEDER TIN2015-65515-C4-1-R. This work is supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the projects UID/CEC/00319/ 2013 and Post-Doc scholarship SFRH/BPD/102696/2014 (A. Costa).
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Costa, M., Costa, A., Julián, V., Novais, P. (2017). A Task Recommendation System for Children and Youth with Autism Spectrum Disorder. In: De Paz, J., Julián, V., Villarrubia, G., Marreiros, G., Novais, P. (eds) Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017). ISAmI 2017. Advances in Intelligent Systems and Computing, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-61118-1_12
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DOI: https://doi.org/10.1007/978-3-319-61118-1_12
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