J Bohacik
Diagnosis and management of cardiovascular disease with an intelligent decision-making support system
Bohacik, J; Davis, Darryl
Authors
Darryl Davis
Abstract
Cardiovascular disease is the principal cause of death in most European countries and may have a major negativeimpact on the patients' functional status, productivity, and quality of life. It seems an automatic decision support system couldlower these negative impacts. The current development stage of a patient-centric solution for remote management andtreatment of cardiovascular patients is described from the point of view of decision support. The principle of the DecisionmakingSupport System is presented. Our prototype experimental results with Data Mining Models are also provided.
Citation
Bohacik, J., & Davis, D. (2012). Diagnosis and management of cardiovascular disease with an intelligent decision-making support system. ULAB journal of science and engineering, 3(1), Article 42888
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 4, 2012 |
Publication Date | 2012-11 |
Journal | ULAB journal of science and engineering |
Print ISSN | 2079-4398 |
Electronic ISSN | 2414-102X |
Publisher | University of Liberal Arts Bangladesh |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 1 |
Article Number | 42888 |
Keywords | Cardiovascular disease; Data mining; Decision support systems; Risk assessment |
Public URL | https://hull-repository.worktribe.com/output/418025 |
Publisher URL | http://journals.ulab.edu.bd/jse/vol3_2012/camera_ready_2012_02.pdf |
You might also like
Mining frequent biological sequences based on bitmap without candidate sequence generation
(2015)
Journal Article
A multi-agent decision support system for stock trading
(2002)
Journal Article
Control states and complete agent architectures
(2001)
Journal Article
A "Society of Mind" cognitive architecture based on the principles of artificial economics
(2010)
Journal Article
Generating and verifying risk prediction models using data mining
(2009)
Book Chapter
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 © 2025
Advanced Search