Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data

@article{Gouripeddi2009PredictingRO,
  title={Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data},
  author={Ramkiran Gouripeddi and Vineeth N. Balasubramanian and Sethuraman Panchanathan and Jenni Harris and Ambika Bhaskaran and Robert M. Siegel},
  journal={2009 22nd IEEE International Symposium on Computer-Based Medical Systems},
  year={2009},
  pages={1-7}
}
Drug Eluting Stents (DES) have distinct advantages over other Percutaneous Coronary Intervention procedures, but have recently been associated with the development of serious complications after the procedure. There is a growing need for understanding the risk of these complications, which has led to the development of simple statistical models. In this work, we have developed a predictive model based on Support Vector Machines on a real world live dataset consisting of clinical variables of… CONTINUE READING