Automatic classification of biomedical information when classification error is unknown.

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 testing sample. The methodology is appropriate for many classification problems, particularly when the true classes and...

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