The analysis was applied to microflora of feces and oropharinx and concentration of volatile fatty acids in saliva from patients of consultative diagnostic center of G.N. Gabrichevskii Moscow research institute of epidemiology and microbiology. The computer classification program is developed on the basis of determining degree of microbiological disorders on the basis of received data and using artificial neural networks and discriminant analysis. The analysis established decreasing of probability of false classification in case of increasing of degree of microbiological disorders of microflora of intestine and absence of such a correlation for microbiological and metabolic disorders of microflora of intestine.