OSSConf 2012: 1–6 RISK ESTIMATION OF CARDIOVASCULAR PATIENTS USING WEKA

Cardiovascular diseases remain the most prevalent cause of deaths worldwide and 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 productive life and to minimize the costs of treatment. In this paper, risk estimation of cardiovascular patients on the basis of collected data used in our developing decision-making support system is described. The system makes use of some data mining techniques which are implemented in open source software tool Weka Waikato Environment for Knowledge Analysis. The integration of Weka with our system, a description of used risk estimation models based on data mining techniques, and experimental results showing the performance of these models are also given.