Publications
Detailed Information
Automatic generation of nursing narratives from entity-attribute-value triplet for electronic nursing records system
Cited 0 time in
Web of Science
Cited 3 time in Scopus
- Authors
- Issue Date
- 2014
- Publisher
- .
- Citation
- Studies in Health Technology and Informatics, Vol.201, pp.452-460
- Abstract
- The aim of this study is to develop and evaluate a natural language generation system to populate nursing narratives using detailed clinical models. Semantic, contextual, and syntactical knowledges were extracted. A natural language generation system linking these knowledges was developed. The quality of generated nursing narratives was evaluated by the three nurse experts using a five-point rating scale. With 82 detailed clinical models, in total 66,888 nursing narratives in four different types of statement were generated. The mean scores for overall quality was 4.66, for content 4.60, for grammaticality 4.40, for writing style 4.13, and for correctness 4.60. The system developed in this study generated nursing narratives with different levels of granularity. The generated nursing narratives can improve semantic interoperability of nursing data documented in nursing records. © 2014 The authors and IOS Press.
- ISSN
- 0926-9630
- Files in This Item:
- There are no files associated with this item.
- Appears in Collections:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.