VOPROSY MEDITSINSKOI KHIMII (ISSN 0042-8809)

Neural -network ciassificationof patients with chronic non-specific lung diseases using immunological parameters of blood and activities of lymphocyte metabolic enzymes

   
Savchenko A.A., Shakina N.A., Rossiev D.A.
PubMed Id: 9703627
Year: 1998  Volume: 44  Issue: 3  Pages: 267-273
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.
Download PDF:
Reference:

Savchenko A.A., Shakina N.A., Rossiev D.A. (1998) Voprosy meditsinskoi khimii, 44(3), 267-273.
References  
 2002 (vol 48)
 2001 (vol 47)
 2000 (vol 46)
 1999 (vol 45)
 1998 (vol 44)
 1997 (vol 43)
 1996 (vol 42)
 1995 (vol 41)
 1994 (vol 40)
 1993 (vol 39)
 1992 (vol 38)
 1991 (vol 37)
 1990 (vol 36)
 1989 (vol 35)
 1988 (vol 34)
 1987 (vol 33)
        

© Institute of Biomedical Chemistry, Moscow, Russia