Title :
Methodologies for predicting coronary surgery outcomes
Author :
Ennett, Colleen M. ; Frize, M. ; Shaw, R.E.
Author_Institution :
Sch. of Inf. Tech. & Eng., Ottawa Univ., Ont., Canada
Abstract :
Preliminary results using an artificial neural network (ANN) on a coronary artery bypass grafting (CABG) surgery database highlighted challenges when faced with a low representation of a binary variable in the database. We will artificially alter the distribution of the database by reproducing or removing cases, and observe any changes in ANN performance. Final results will be presented at the conference
Keywords :
backpropagation; blood vessels; cardiovascular system; feedforward neural nets; medical information systems; surgery; ANN; CABG surgery database; artificial neural network; backpropagation feedforward ANN; binary variable; coronary artery bypass grafting surgery database; coronary surgery outcomes; mortality risk models; Arteries; Artificial neural networks; Cities and towns; Computer networks; Councils; Databases; Heart; Mathematical model; Predictive models; Surgery;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804406
