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Title: Clinical Practice Ontology Automatic Learning from SOAP Reports
Authors: Mendes, David
Pimenta Rodrigues, Irene
Baeta, Carlos
Editors: Fotiadis, Dimitrios I.
Keywords: Artificial Intelligence
Knowledge Acquisition
Issue Date: 2015
Publisher: IGIglobal
Citation: Mendes, D., Rodrigues, I. P., & Baeta, C. F. (2016). Clinical Practice Ontology Automatic Learning from SOAP Reports. In D. Fotiadis (Ed.), Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions (pp. 349-363). Hershey, PA: Medical Information Science Reference. doi:10.4018/978-1-4666-8828-5.ch016
Abstract: We show how we implemented an end-to-end process to automatically develop a clinical practice knowledge base acquiring from SOAP notes. With our contribution we intend to overcome the “Knowledge Acquisition Bottleneck” problem by jump-starting the knowledge gathering from the most widely available source of clinical information that are natural language reports. We present the different phases of our process to populate automatically a proposed ontology with clinical assertions extracted from daily routine SOAP notes. The enriched ontology becomes a reasoning able knowledge base that depicts accurately and realistically the clinical practice represented by the source reports. With this knowledge structure in place and novel state-of-the-art reasoning capabilities, based in consequence driven reasoners, a clinical QA system based in controlled natural language is introduced that reveals breakthrough possibilities regarding the applicability of Artificial Intelligence techniques to the medical field.
Type: bookPart
Appears in Collections:INF - Publicações - Capítulos de Livros

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