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Robust Discriminant Functions in Assisting Medical Diagnosis. Application to the Chronic Obturative Lung Disease Data
Author(s) -
Krusińska Ewa,
Liebhart Jerzy
Publication year - 1990
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710320804
Subject(s) - linear discriminant analysis , discriminant , chronic bronchitis , optimal discriminant analysis , pattern recognition (psychology) , artificial intelligence , covariance , data set , mathematics , chronic disease , asthma , medicine , statistics , computer science
The results of assisting medical diagnosis in bronchial asthma and chronic bronchitis via robust discriminant functions are presented in the paper. The robust discriminant functions are obtained by replacing classical estimates of mean vectors and covariance matrices by their robust equivalents. The new methods were compared with classical ones. These methods resulted in the improvement of automatic diagnosis especially when the “new” data set was classified on the basis of individuals collected earlier.