FEATURES INTESTINAL MICROBIOCENOSIS WITH MICROORGANISMS SENSITIVE AND RESISTANT TO BACTERIOPHAGES
In the research the microbiologic feces microorganisms and the concentration of short chain fatty acids in the patients' stool treated in the Moscow Research G.N. Garbichevsky Institute of Epidemiology and Microbiology, were studied. Based on the data, there were created the classification programs of microbiocenosis with the microflora sensitive and resistant to Klebsiella, Coli-protei and streptococcal bacteriophages. Group test results with the presence of microorganisms sensitive and resistant to various bacteriophages was compared with the comparison group. Also, the comparisons were carried out: group analysis results with the presence of microorganisms sensitive to different bacteriophages and compareson group, and - with the presence of resistant to various bacteriophages and group comparisons. To classificate the microbiocenosis according to the data of bacteriological analysis of feces and fecal concentrations of short chain fatty acids, the Artificial Neural Networks were used. It was revealed that there are in the feces of higher probabilities of correct classification Artificial Neural Networks in comparison with the values of correct classification according to bacteriological analysis of feces and chain fatty acid concentrations. Microbiocenoses with the presence of phagoresistant microorganisms have the higher indicators of correct classification Artificial Neural Networks in comparison with microbiocenoses sensitive to bacteriophages.