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Fuzzy rule-based system applied to risk estimation of cardiovascular patients (2013)
Journal Article
Bohacik, J., & Davis, D. N. (2013). Fuzzy rule-based system applied to risk estimation of cardiovascular patients. Journal of Multiple-Valued Logic and Soft Computing, 20(5-6), 445-466

Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based... Read More about Fuzzy rule-based system applied to risk estimation of cardiovascular patients.

Risk estimation of cardiovascular patients using Weka (2012)
Conference Proceeding
Bohacik, J., Davis, D., & Benedikovic, M. (2012). Risk estimation of cardiovascular patients using Weka

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 pr... Read More about Risk estimation of cardiovascular patients using Weka.

Data mining applied to cardiovascular data (2010)
Journal Article
Bohacik, J., & Davis, D. (2010). Data mining applied to cardiovascular data. Journal of information technologies, 3(2), 14 - 21

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 diagnosi... Read More about Data mining applied to cardiovascular data.