Kay I Penny
The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome.
Penny, Kay I; Smith, Graeme D
Authors
Graeme D Smith
Citation
Penny, K. I., & Smith, G. D. (2009, June). The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome. Presented at Information Technology Interfaces 2009
Conference Name | Information Technology Interfaces 2009 |
---|---|
Start Date | Jun 22, 2009 |
End Date | Jun 25, 2009 |
Publication Date | 2009 |
Deposit Date | Jun 14, 2012 |
Peer Reviewed | Peer Reviewed |
Pages | 87-92 |
Book Title | Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces |
ISBN | 978-953-7138-15-8 |
DOI | https://doi.org/10.1109/ITI.2009.5196059 |
Keywords | Data mining; IBS: quality of life; logistic regression; artificial neural networks; classification tree; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/5389 |
Publisher URL | http://dx.doi.org/10.1109/ITI.2009.5196059 |
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search