Jan Bohacik
Risk estimation of cardiovascular patients using Weka
Bohacik, Jan; Davis, Darryl; Benedikovic, Miroslav
Authors
Darryl Davis
Miroslav Benedikovic
Abstract
Cardiovascular diseases remain the most prevalent cause of deaths worldwideand their prevention requires major life-style changes using limited health-care resources.Remote decision support for cardiovascular patients seems to allow them to lead a productivelife and to minimize the costs of treatment. In this paper, risk estimation of cardiovascularpatients on the basis of collected data used in our developing decision-makingsupport system is described. The system makes use of some data mining techniqueswhich are implemented in open source software tool Weka - Waikato Environment forKnowledge Analysis. The integration of Weka with our system, a description of used riskestimation models based on data mining techniques, and experimental results showing theperformance of these models are also given.
Citation
Bohacik, J., Davis, D., & Benedikovic, M. (2012). Risk estimation of cardiovascular patients using Weka.
Conference Name | International Conference on Open Source Software in Education, Research and IT Solution |
---|---|
Conference Location | Zilina, Slovakia |
Acceptance Date | Jul 2, 2012 |
Publication Date | Jul 2, 2012 |
Publicly Available Date | Nov 29, 2018 |
Volume | 2012 |
Pages | 15 - 20 |
Series Title | Proc. of the International Conference on Open Source Software in Education, Research and IT Solutions |
ISBN | 978-80-970457-2-2 |
Public URL | https://hull-repository.worktribe.com/output/418022 |
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