Automatic classification of biomedical information when classification error is unknown.

doi:10.1002/sim.4780030308

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Article

Automatic classification of biomedical information when classification error is unknown.

Statistics in medicine - 1 Jan 2000

Stoddard A M

Abstract excerpt

This paper describes a distribution-free method for the automatic classification of individuals by phenotype of the serum protein alpha 1-antitrypsin. This method achieved 74 per cent agreement and a Kappa value of 0.24 when compared to the conventional classification procedure on an independent...

Topics

Classification
Humans
Phenotype
Statistics as Topic
alpha 1-Antitrypsin

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