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
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;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
