NDLI: Ontology-Based Decision Support Systems for Health Data Management to Support Collaboration in Ambient Assisted Living and Work Reintegration

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Ontology-Based Decision Support Systems for Health Data Management to Support Collaboration in Ambient Assisted Living and Work Reintegration

Content Provider	Hyper Articles en Ligne (HAL)
Author	Spoladore, Daniele
Copyright Year	2017
Abstract	The modern evolution of healthcare systems towards even more complex networks has highlighted the emerging need of a standardized and interoperable model for the management of health data. Several studies in the past years have underlined how the adoption of Semantic Web technologies can provide a valuable solution for both of the aforementioned needs. Semantic modelling of health-data can indeed provide a sound and sharable conceptualization of a patient’s health condition and can leverage automatic generation of new knowledge related to the clinical contexts. In fact, thanks to reasoning processes these technologies can be used as part of decision-support systems in a variety of domains. In this paper two examples of ontologies are presented. Both models rely on a worldwide-known classification and are the basis for two decision-support tools related to the Ambient Assisted Living and Work Reintegration domains, which enable cooperation among different clinical and non-clinical stakeholders.
Related Links	https://inria.hal.science/hal-01674911/file/455531_1_En_32_Chapter.pdf
ISBN	9783319651514
Conference Proceedings	18th Working Conference on Virtual Enterprises (PROVE)
DOI	10.1007/978-3-319-65151-4_32
Volume Number	AICT-506
Language	English
Publisher	HAL CCSD Springer International Publishing
Publisher Date	2017-01-01
Access Restriction	Open
Subject Keyword	Semantic web Decision Support System Ontology Data integration Computer Science [cs]
Content Type	Text
Resource Type	Conference Proceedings
Subject	Medicine

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