BIOCHEMICAL INDIVIDUALITY AND THE RECOGNITION OF PERSONAL PROFILES WITH A COMPUTER

  • 1 January 1980
    • journal article
    • research article
    • Vol. 26  (1) , 30-36
Abstract
Multitest analysis of an individual''s blood provides a biochemical profile that reflects his identity and pathophysiological state. During a 6-wk period 10 volunteers were repeatedly profiled for 22 different analytes, using continuous-flow and discrete analyzers (SMAC, KA 150 enzyme analyzer, ABA-100, AutoAnalyzers) and manual procedures. Two years later multiple follow-up profiles were obtained. Using linear discriminant functions derived from the first 5 (or first 10) specimens from each subject, 96% (or 100%) of the specimens collected during the remainder of the 6-wk testing period could be correctly identified. Of the 2-yr follow-up specimens, 90% were correctly identified when all the original profiles were used to calculate the discriminant functions. Deliberately mislabeled specimens were correctly identified by discriminant analysis. Profiles of individual samples (and average profiles for each subject) were graphically displayed as computer-drawn faces and non-linear maps. Covariances between pairs of tests on repeated profiles differed significantly for different subjects. Inter-test relationships were graphically displayed by nonlinear mapping.

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