Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/7486

Title: Enrichment/Population of Customized CPR (Computer-based Patient Record) Ontology from Free-text Reports for CSI (Computer Semantic Interoperability
Authors: Mendes, David
Rodrigues, Irene Pimenta
Rodriguez-Solano, Carlos
Baeta, Carlos
Editors: Varajão, João
Cunha, Manuela
Rijo, Rui
Yetton, Phillip
Keywords: Ontology Enrichment
Clinical Practice
Issue Date: 2012
Publisher: Elsevier
Citation: David Mendes, Irene Rodrigues, Carlos Rodriguez-Solano and Carlos Baeta, Enrichment/Population of Customized CPR (Computer-based Patient Record) Ontology from Free-text Reports for CSI (Computer Semantic Interoperability), Procedia Technology, Vol. 5, Pag. 753-762, Elsevier, ISSN 2212-0173, (url), October 2012
Abstract: CSI (Computer Semantic Interoperability) is a very important issue in healthcare. Ways for heterogeneous computer systems to “understand” important facts from the clinical process for clinical decision support are now beginning to be addressed. We present here comprehensive contributions to achieve CSI. EHR (Electronic Health Record) systems provide a way to extract reports of the clinicians activity. In order to formalize an automated acquisition from semi-structured, free-form, natural language texts in Portuguese into a Clinical Practice Ontology an important step is to develop the ability of decoding all the nicknames, acronyms and short-hand forms that each clinician tend to write down in their reports. We present the steps to develop clinical vocabularies extracting directly from clinical reports in Portuguese available in the SAM (Sistema de Apoio ao Médico) system. The presented techniques are easily further developed for any other natural language or knowledge representation framework with due adaptations.
URI: http://hdl.handle.net/10174/7486
Type: article
Appears in Collections:INF - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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