Using fuzzy sets to diagnose coronary artery stenosis

1 March 1991

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in Computer

Vol. 24 (3) , 57-63
https://doi.org/10.1109/2.73513

Abstract

The use of fuzzy sets to represent perfusion defects and to generate expert results to help in diagnosis is reported. Retrospective data collected from 91 patients who underwent both stress thallium-201 myocardial scintigraphy and coronary arteriography were used. Of the total, 64 scans were chosen at random for training, and the remaining 27 scans were used for testing data. It was found that 17 rules generated by fuzzy set theory performed as well as 68 rules specified by cardiologists in diagnosing coronary artery stenosis.

Keywords

This publication has 2 references indexed in Scilit:

Parallel distributed processing as a decision support approach in the analysis of thallium-201 scintigrams
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
A Bayesian approach for dealing with uncertainties in detection of coronary artery stenosis using a knowledge-based system
IEEE Engineering in Medicine and Biology Magazine, 1989