Premium
The Use of Combined Classifiers in Medical Functional Diagnostics
Author(s) -
Wernecke K.D.,
Unger S.,
Kalb G.
Publication year - 1986
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.4710280116
Subject(s) - pattern recognition (psychology) , set (abstract data type) , coupling (piping) , sample (material) , statistics , computer science , artificial intelligence , data set , confidence interval , mathematics , data mining , machine learning , engineering , chemistry , mechanical engineering , chromatography , programming language
In otological and ophthalmological functional diagnostics it is typical to record for a certain individual several similar biopotentials under different conditions of stimulation and/or to collect various potentials for the same individual. Since the combination of these different data collected from a patient is of interest, coupling of the classification results obtained for each single data set seems desirable. Based on sample classifiers, obtained by linear discriminance analysis, of acoustically or visually evoked potentials from selected patients an algorithm is proposed for their coupling, which logically links the various rules of allocation and is based on the principle of assignment by highest likelihood. Furthermore, the procedure may be modified by inclusion of corresponding confidence intervals for the determined allocation frequencies. The results obtained for the groups of patients investigated show a considerable improvement of classification as judged from the error rates being distinctly reduced after the coupling.