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Selection of Semantic Relevant Healthcare Services Subsets.
- Source :
- Studies in Health Technology & Informatics; 2018, Vol. 247, p915-919, 5p, 5 Charts
- Publication Year :
- 2018
-
Abstract
- We describe an approach to select semantically coherent specialty subsets based on the historical use of terminology by different service areas. Our approach uses rule-based and machine learning techniques to obtain a reduced set of 29 specialties. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09269630
- Volume :
- 247
- Database :
- Complementary Index
- Journal :
- Studies in Health Technology & Informatics
- Publication Type :
- Academic Journal
- Accession number :
- 129542716
- Full Text :
- https://doi.org/10.3233/978-1-61499-852-5-915