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Title: Ontology Driven Controlled Natural Language Clinical Decision Support System for the Cardiovascular Specialty
Authors: Mendes, David
Pimenta Rodrigues, Irene
Baeta, Carlos
Solano-Rodriguez, Carlos
Editors: Varajão, João
Cunha, Manuela
Bjørn-Andersen, Niels
Turner, Rodney
Wijesekera, Duminda
Martinho, Ricardo
Rijo, Rui
Keywords: Ontology
Artificial inteligence
Issue Date: 2014
Publisher: Elsevier
Citation: David Mendes,Irene Pimenta Rodriguesa, Carlos Fernandes Baeta, Carlos Solano-Rodriguez. Ontology Driven Controlled Natural Language Clinical Decision Support System for the Cardiovascular Specialty. Procedia Technology. Volume 16, 2014, Pages 1493–1501
Abstract: We present an end to end Question and Answering system to help the clinical practitioners in a cardiovascular healthcare environment. We introduce our proposed ontology framework, Ontology for General Clinical Practice, that we developed enhancing the currently available state-of-the-art ontologies for medical science and for the cardiovascular specialty, extending upon the OBO Foundry principles. It's shown the scientific and philosophical reasons of its present dual structure with a deeply expressive terminological base (TBox) and a highly computable assertions knowledge base (ABox). The knowledge base is automatically populated by means of a tutored acquisition from clinical reports using Controlled Natural Language rendering an ontology driven question answering system with high recall, precision and F-Measure that competes in its specific sub-domain with the more advanced current NLP systems developed in general for the healthcare domain.
Type: article
Appears in Collections:INF - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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