DocumentCode
1202237
Title
Fuzzy two-level classifier for high-G analysis. Medical diagnosis of acceleration effects
Author
Kuncheva, Ludmila I.
Author_Institution
Central Lab. of Bioinstrum. & Autom., Acad. of Sci., Sofia, Bulgaria
Volume
13
Issue
5
fYear
1994
Firstpage
717
Lastpage
722
Abstract
The author proposes a structure of a two-level fuzzy classifier that can use both data analysis and expert opinion. The correspondence between medical diagnostic tasks and fuzzy pattern recognition is discussed. The description of the scheme, with an experimental study on a real problem from aviation medicine are reported. The results provide experimental support of the improvement of the classification accuracy.<>
Keywords
aerospace biophysics; fuzzy logic; patient diagnosis; pattern recognition; acceleration effects medical diagnosis; aviation medicine; classification accuracy; data analysis; expert opinion; fuzzy 2-level classifier; fuzzy pattern recognition; high-G analysis; Acceleration; Artificial intelligence; Data analysis; Diseases; Fuzzy sets; Labeling; Medical diagnosis; Pattern recognition; Tin; Uncertainty;
fLanguage
English
Journal_Title
Engineering in Medicine and Biology Magazine, IEEE
Publisher
ieee
ISSN
0739-5175
Type
jour
DOI
10.1109/51.334627
Filename
334627
Link To Document