Abstract
Decision Support Systems can enhance e-Health monitoring and IoT scenarios on the early detection of neurodevelopmental disorders in children. Thus, Ambient Intelligence could support innovative application domains like motor or cognitive impairments’ detection at the home environment. The paper describes the design of an innovative cooperative system (Galatea) that supports the refinement process of a Knowledge Base expressed as an OWL ontology. The ontology supports decision-making process and is the core of: (1) a Web-Based Smart System aimed to enhance the screening of language disorders at medical centers and schools by fostering the identification of a developmental disorders before 4 years old of age; (2) a set of child smart care services that use Ambient Intelligent paradigm for early attention of motor impairments in children who are often not diagnosed or treated by health care entities.
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Acknowledgments
This article is part of research conducted under EDUCERE project (Ubiquitous Detection Ecosystem to Care and Early Stimulation for Children with Developmental Disorders; TIN2013-47803-C2-1-R), supported by the Ministry of Education and Science of Spain through the National Plan for R + D + I (research, development, and innovation). Thanks to the Swedish Knowledge Foundation for supporting the research profile ESS-H and R&D work as MDH Visiting Professor.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Martin-Ruiz, ML., Valero, MA., Gómez, A., Torcal, C. (2016). A Cooperative Decision Support System for Children’s Neurodevelopment Monitoring. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_49
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DOI: https://doi.org/10.1007/978-3-319-47063-4_49
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