Extended Clinical Discourse Representation Structure for Controlled Natural Language Clinical Decision Support Systems

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To support an end to end Question and Answering system to help the clinical practitioners in a cardiovascular healthcare environment, an extended discourse representation structure CIDERS is introduced. This extension of the well-known DRT (Discourse Representation Theory) structures, go beyond single text representation extending them to embrace the general clinical history of a given patient. Introduced is a proposed and developed ontology framework, Ontology for General Clinical Practice, enhancing the currently available state-of-the-art ontologies for medical science and for the cardiovascular specialty, It's shown the scientific and philosophical reasons of its present dual structure with a deeply expressive (SHOIN) terminological base (TBox) and a highly computable (EL++) assertions knowledge base (ABox).

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Extended Clinical Discourse Representation Structure for Controlled Natural Language Clinical Decision Support Systems David José Murteira Mendes (Universidade de Évora, Évora, Portugal), Irene Pimenta Rodrigues (Universidade de Évora, Évora, Portugal), Carlos F. Baeta (ULSNA, Évora, Portugal) and Carlos Solano-Rodriguez (Universidad de Alcalá de Henares, Alcalá de Henares, Spain) Volume 4, Issue 2. Copyright © 2015. 11 pages. International Journal of Reliable and Quality E-Healthcare (IJRQEH)

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