[Neural network classification of people with chronic, nonspecific lung diseases using immunologic parameters of the blood and activity of metabolic enzymes in lymphocytes].
Informatic importance of blood immunological parameters and activities of lymphocyte metabolic enzymes was investigated in patients with chronic non-specific lung diseases (CNLD) in remission by neural-network classifier. There insignificant increase of immunoregulatory index, absence of variations in indices of humoral immunity, but decrease oxidoreductase activities controlling of bioenergetic processes were detected in immunocompetent cells of patients with CNLD. It was assumed that disturbance of the metabolic state of lymphocytes defined weak functional activation of immunocompetent cells, as well as the development of immunodeficiency and chronicity of diseases. Basing on analysis of lymphocytic NAD(P)-dependent dehydrogenases, neural-network classifier divided all patients with CNLD into two groups distinguishing by the level of intracellular metabolism and the type of immune reactions. This result and complete training on the basis of immunological parameters reflect higher informatic importance of metabolic indices of lymphocytes in diagnosis of immunodeficiency.
Institute of Northern Medical Problems, Siberian Branch of the Russian Academy of Medical Sciences.
A A
AA
Savchenko
N A
NA
Shakina
D A
DA
Rossiev
D000917:Antibody Formation; D002908:Chronic Disease; D006801:Humans; D007111:Immunity, Cellular; D008171:Lung Diseases / Q000097:blood / Q000145:classification* / Q000276:immunology; D008214:Lymphocytes / Q000201:enzymology* / Q000276:immunology; D009252:NADPH Dehydrogenase / Q000097:blood*; D016571:Neural Networks, Computer
D009252:NADPH Dehydrogenase