Ontology driven controlled natural language clinical decision support system for the cardiovascular specialty.
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| Title: | Ontology driven controlled natural language clinical decision support system for the cardiovascular specialty. |
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| Authors: | Mendes, David1 dmendes@uevora.pt, Rodrigues, Irene Pimenta1, Baeta, Carlos Fernandes2, Solano-Rodriguez, Carlos3 |
| Source: | Interdisciplinarity in Engineering. 2014, Vol. 16, p1493-1501. 9p. |
| Subjects: | Medical care, Cardiovascular diseases, Ontology, Medical sciences, Public health, Health |
| 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 (SHOIN) terminological base (TBox) and a highly computable (EL++) 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Interdisciplinarity in Engineering is the property of University of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mures and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 102707868 AccessLevel: 6 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.protcy.2014.10.170 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1493 Subjects: – SubjectFull: Medical care Type: general – SubjectFull: Cardiovascular diseases Type: general – SubjectFull: Ontology Type: general – SubjectFull: Medical sciences Type: general – SubjectFull: Public health Type: general – SubjectFull: Health Type: general Titles: – TitleFull: Ontology driven controlled natural language clinical decision support system for the cardiovascular specialty. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mendes, David – PersonEntity: Name: NameFull: Rodrigues, Irene Pimenta – PersonEntity: Name: NameFull: Baeta, Carlos Fernandes – PersonEntity: Name: NameFull: Solano-Rodriguez, Carlos IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 22850945 Numbering: – Type: volume Value: 16 Titles: – TitleFull: Interdisciplinarity in Engineering Type: main |
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