A cooperative decision support system for children’s neurodevelopment monitoring
2016 (English) In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2016, Vol. 169, p. 461-466Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages 2016. Vol. 169, p. 461-466
Keywords [en]
Disabilities, E-health, Healthcare services, Smart systems, Artificial intelligence, Decision making, Decision support systems, Diagnosis, Health care, Knowledge based systems, Ambient intelligence, Co-operative systems, Decision making process, Developmental disorders, E health, Smart System, Internet of things
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers URN: urn:nbn:se:mdh:diva-34535 DOI: 10.1007/978-3-319-47063-4_49 ISI: 000398616500049 Scopus ID: 2-s2.0-85000470504 ISBN: 9783319470627 (print) OAI: oai:DiVA.org:mdh-34535 DiVA, id: diva2:1059180
Conference 27 October 2015 through 29 October 2015
2016-12-222016-12-222017-05-19 Bibliographically approved