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Coronary disease identification using the discriminant analysis

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Il Nuovo Cimento D

Summary

This paper presents a method for identification of coronary disease using the discriminant analysis. The set of discriminant variables used is composed by the general characteristics of the patient, the lipemic values, collected by a blood analysis, and some results of a cardiac catheterism. By using all the variables a total level of classification of about 89.9% is reached, separating the healthy patients from the sick patients affected by a coronary disease. The discriminant analysis is also performed using the general characteristics of the patient and the lipemic values only (i.e. noninvasive medical examinations), and general characteristics and some results of a cardiac catheterism only. In conclusion, the diagnosis of coronary artery disease, obtained by discriminant analysis of noninvasive data, seems to be good enough to discriminate sick from healthy people and to assign patients to a further protocol.

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Balbarini, A., Becuzzi, L., Biadi, O. et al. Coronary disease identification using the discriminant analysis. Nouv Cim D 11, 1845–1852 (1989). https://doi.org/10.1007/BF02459125

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  • DOI: https://doi.org/10.1007/BF02459125

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