Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50724

TitleThe role of ontologies and decision frameworks in computer-interpretable guideline execution
Author(s)Novais, Paulo
Oliveira, T
Satoh, Ken
Neves, José
Issue date1-Jan-2018
PublisherSpringer Verlag
JournalAdvances in Intelligent Systems and Computing
Abstract(s)Computer-Interpretable Guidelines (CIGs) are machine readable representations of Clinical Practice Guidelines (CPGs) that serve as the knowledge base in many knowledge-based systems oriented towards clinical decision support. Herein we disclose a comprehensive CIG representation model based on Web Ontology Language (OWL) along with its main components. Additionally, we present results revealing the expressiveness of the model regarding a selected set of CPGs. The CIG model then serves as the basis of an architecture for an execution system that is able to manage incomplete information regarding the state of a patient through Speculative Computation. The architecture allows for the generation of clinical scenarios when there is missing information for clinical parameters.
TypeConference paper
URIhttp://hdl.handle.net/1822/50724
ISBN9783319641607
DOI10.1007/978-3-319-64161-4_10
ISSN2194-5357
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters


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