Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks

Article ID	Journal	Published Year	Pages	File Type
2985298	The Journal of Thoracic and Cardiovascular Surgery	2006	9 Pages	PDF

Abstract

Risk factors in a ranked order contributing to the mortality prediction were identified. A minimal set of risk variables achieving a superior mortality prediction was defined. The artificial neural network model is applicable independent of the cardiac surgical procedure.

Keywords

ANN ROC standard deviation coronary artery bypass grafting CABG Artificial Neural Network confidence interval receiver operating characteristics

Related Topics

Health Sciences Medicine and Dentistry Cardiology and Cardiovascular Medicine

Preview

Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks

Authors

Johan MD, PhD, Mattias PhD, Lars MD, PhD, Peter MD, PhD, Samer A.M. FRCS, Johan MD, PhD,