J Bohacik
Data mining applied to cardiovascular data
Bohacik, J; Davis, Darryl
Authors
Darryl Davis
Abstract
Medical decision support is one area of increasing research interest. Ongoing collaborations between cardiovascular clinicians and computer scientists are looking at the application of data mining techniques to the area of individual patient diagnosis, based on clinical records. An investigation of four different classification models on cardiovascular data for estimation of patient risk in cardiovascular domains is presented. Experimental results are provided showing the performance of particular models.
Citation
Bohacik, J., & Davis, D. (2010). Data mining applied to cardiovascular data. Journal of information technologies, 3(2), 14 - 21
Journal Article Type | Article |
---|---|
Publication Date | Dec 1, 2010 |
Publicly Available Date | Mar 29, 2024 |
Journal | Journal of information technologies |
Print ISSN | 1337-7469 |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 2 |
Pages | 14 - 21 |
Public URL | https://hull-repository.worktribe.com/output/418024 |
You might also like
Ionic Imbalances and Coupling in Synchronization of Responses in Neurons
(2019)
Journal Article
An adaptive ensemble approach to ambient intelligence assisted people search
(2018)
Journal Article
Security feature measurement for frequent dynamic execution paths in software system
(2018)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.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