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  5. The neural network treatment of the OGTT glycemic data for increasing its diagnostic efficiency

The neural network treatment of the OGTT glycemic data for increasing its diagnostic efficiency

O.I. Solovjova, S.I. Lapta, S.S. Lapta
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For the possibility of the objectification and automatization of the diagnostic activities of the endocrynologist, when the population mass investigations of the Diabetes mellitus 2 type (DM2) latent form is carrying out, the modelling with the help of the artificial neural network (ANN) is offered. The ANN elaboration was carrying out, which, as the investigations showed, the DM2 diagnostic level according to the oral glucose tolerance test (OGTT) glycemic data, when a proper training on the examples of the experienced expert endocrynologist, is practically inferior to none of the experts.
Keywords: artificial neural network, Diabetes mellitus, impaired glucose tolerance, objective diagnostics