The Library
Bottom-up natural language processing based evaluation of the fitness of UMLS as a semantic source for a computer interpretable guidelines ontology
Tools
Tools
Tools
Despotou, George, Korkontzelos, Ioannis and Arvanitis, Theodoros N. (2022) Bottom-up natural language processing based evaluation of the fitness of UMLS as a semantic source for a computer interpretable guidelines ontology. In: MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. Studies in Health Technology and Informatics, 290 . IOS Press, pp. 1060-1061. ISBN 9781643682648
|
PDF
Bottom-Up-natural-language-processing-based-evaluation-fitness-UMLS-semantic-source-computer-interpretable-guidelines-ontology-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons: Attribution-Noncommercial 4.0. Download (161Kb) | Preview |
Official URL: http://dx.doi.org/10.3233/SHTI220267
Abstract
Background:
CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.
Objective:
An evaluation of UMLS concept sufficiency for CIG definition.
Method:
A popular guideline is mapped to UMLS concepts with NLP. Results are reviewed to evaluate gaps, and appropriateness.
Results:
A significant number of the guideline text mapped to UMLS concepts.
Conclusions:
The approach has shown promise and highlighted further challenges.
| Item Type: | Book Item | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Natural language processing (Computer science), Health services administration -- Information technology, Medicine -- Data processing, Artificial intelligence -- Medical applications, Medical Informatics | ||||||
| Series Name: | Studies in Health Technology and Informatics | ||||||
| Publisher: | IOS Press | ||||||
| ISBN: | 9781643682648 | ||||||
| ISSN: | 09269630 | ||||||
| Book Title: | MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation | ||||||
| Official Date: | 2022 | ||||||
| Dates: |
|
||||||
| Volume: | 290 | ||||||
| Page Range: | pp. 1060-1061 | ||||||
| DOI: | 10.3233/SHTI220267 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 29 June 2022 | ||||||
| Date of first compliant Open Access: | 1 July 2022 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
