The use of modified constellation graph method for computer-aided classification of congenital heart diseases.
This paper describes a new method of data reduction and classification in a multidimensional symptom space for diagnostic aid of congenital heart diseases. The algorithm developed here is to reduce interactively a multidimensional symptom space to sectorial regions representing each disease in a semicircle using the modified constellation graph method. This method enables us to classify patients using the angle in the semicircle as a single classifying parameter with an accuracy of about 90%, that is, with little overlapping between disease sectors. Comparing this method with conventional factor analysis, we have found the former far more effective than the latter for disease region separation.
Sekiya
T
T
Department of Medical Engineering, National Defence Medical College, Saitama, Japan.
Watanabe
A
A
Saito
M
M
D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted; D005163:Factor Analysis, Statistical; D006330:Heart Defects, Congenital / Q000145:classification*; D006801:Humans; D008432:Mathematical Computing; D008955:Models, Cardiovascular; D012985:Software Design