Abstract
The evaluation of coronary artery disease (CAD) is based on 3 sources of information, i.e. (1) pre-test or prior probability of CAD (P) derived from age, sex, nature of complaints and presence of risk factors, (2) non-invasive testing such as exercise- ECG alone (XECG) or combined with thallium scintigraphy (XTl) and, (3) coronary arteriography (ANGIO) which is the accepted reference method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
MELIN J.A., PIRET L.J., VANBUTSELE R.J.M., ROUSSEAU M.F., COSYNS J., BRASSEUR L.A., BECKERS C., DETRY JM R. — Diagnostic value of exercise electrocardiography in patients without previous myocardial infarction: a Bayesian approach. Circulation, 63 1019–1024, 1981.
DIAMOND G., FORRESTER J. — Cadenza II: Computer-assisted, diagnosis and evaluations of coronary artery disease. Copyright 1979, Cardiokinetics Inc., Seattle.
SHANNON C.E. — A mathematical theory of communication. Bell System Tech, J., 397 and 623.
MELIN J., EECKHOUT L., VANBUTSELE R., ROBERT A., LEBRUN Th., SAILLY J.C., BROHET C., DETRY J.M. — Selection of diagnostic tests for coronary disease based on a computer-aided determination of their information content. Computers in Cardiology IEEE transaction, in press, 1984
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1985 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Eeckhoudt, L. et al. (1985). Optimal Sequential Strategies to Evaluate Presence and Severity of Coronary Artery Disease: an Information Theory Approach. In: Roger, F.H., Grönroos, P., Tervo-Pellikka, R., O’Moore, R. (eds) Medical Informatics Europe 85. Lecture Notes in Medical Informatics, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93295-3_86
Download citation
DOI: https://doi.org/10.1007/978-3-642-93295-3_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-15676-5
Online ISBN: 978-3-642-93295-3
eBook Packages: Springer Book Archive