Autor: |
McConnell ML, Rhodes G, Watson U, Novotný M |
Jazyk: |
angličtina |
Zdroj: |
Journal of chromatography [J Chromatogr] 1979 Apr 11; Vol. 162 (4), pp. 495-506. |
DOI: |
10.1016/s0378-4347(00)81830-7 |
Abstrakt: |
The applicability of threshold logic units, a form of nonparametric pattern recognition, to the processing of metabolic profile data obtained by high-efficiency glass capillary column gas chromatography has been investigated. The test data included profiles of the volatile constituents of urine from normal individuals and from individuals with diabetes mellitus. A feature extraction algorithm allowed for dimensionality reduction and indicated the constituents most important in the normal versus pathological distinction. With an optimum number of dimensions, a normal versus pathological prediction rate of 93.75% was achieved. Gas chromatography-mass spectrometry was utilized to identify important profile constituents. |
Databáze: |
MEDLINE |
Externí odkaz: |
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