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The authors describe a novel method of data reduction and classification in a multidimensional symptom space for use as a diagnostic aid for congenital heart diseases. The algorithm developed here reduces interactively a multidimensional symptom space to sectorial regions representing each disease in a semicircle using the modified constellation graph method. This method enables classification of patients, using the angle in the semicircle as a single classifying parameter with an accuracy of about 90%, with little overlapping between disease sectors. Comparing this method with conventional factor analysis, the authors found the former far more effective than the latter for disease region separation.
Date of Publication: Aug. 1991