Predicting complications of percutaneous coronary intervention using a novel support vector method.
To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI).
Author(s): Lee, Gyemin, Gurm, Hitinder S, Syed, Zeeshan
DOI: 10.1136/amiajnl-2012-001588