Data mining applied to cardiovascular data
Bohacik, J; Davis, Darryl
Darryl Davis D.N.Davis@hull.ac.uk
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.
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|
|Journal||Journal of information technologies|
|Peer Reviewed||Peer Reviewed|
|Pages||14 - 21|
This file is under embargo due to copyright reasons.
Contact D.N.Davis@hull.ac.uk to request a copy for personal use.
You might also like
Fuzzy rule-based system applied to risk estimation of cardiovascular patients
Risk estimation of cardiovascular patients using Weka